笔迹鉴别程序
考试的笔迹鉴别程序，分辨出不同人写的笔迹
This commit is contained in:
yanshui177
119
测试/服务器测试/输出文件/输出待检测检测文件try catch/DBop.cpp
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119
测试/服务器测试/输出文件/输出待检测检测文件try catch/DBop.cpp
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@@ -0,0 +1,119 @@
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/*
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实现文件：DBop.cpp 数据库操作实现文件
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*/
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#include "DBop.h"
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#include "path.h"
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/*本地的全局变量*/
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_ConnectionPtr p_conn; /*全局变量 连接对象*/
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_RecordsetPtr p_recordset; /*全局变量 记录集对象*/
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_CommandPtr p_cmd; /*全局变量 操作集对象*/
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string str_conn; /*全局变量 连接字符串设置*/
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/**
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功能： 查询所有学生的学号，将所有的指定位置的数据库信息(学号)全部存储在名为stu的vector<string>型的变量中
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@变量 stu 学生学号存储
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@返回值 成功1 失败0
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*/
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int DbStu(vector<string>& stu)
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{
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/*字符转换，方便使用*/
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string userName(g_db_userName.c_str());
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string password(g_db_password.c_str());
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string hostName(g_db_hostName.c_str());
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string dBName(g_db_dBName.c_str());
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cout<<g_db_userName.c_str()<<endl;
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cout<<g_db_password.c_str()<<endl;
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cout<<g_db_hostName.c_str()<<endl;
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cout<<g_db_dBName.c_str()<<endl;
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//连接字串设置 //因为strConn是全局变量，因此仅仅初始化一次
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str_conn = "Provider=OraOLEDB.Oracle.1;Persist Security Info = true;User ID = ";
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str_conn += userName; //===仅初始化一次===//
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str_conn += ";Password="; //==================//
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str_conn += password;
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str_conn += ";Data Source = (DESCRIPTION = (ADDRESS = (PROTOCOL = TCP)(HOST=";
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str_conn += hostName;
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str_conn += ")(PORT=1521))(CONNECT_DATA=(SERVICE_NAME=";
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str_conn += dBName;
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str_conn += ")))";
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::CoInitialize(NULL);//初始化com组件
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//连接数据库，并执行sql查询语句 【必须要用try catch捕获异常】
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try{
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p_conn.CreateInstance("ADODB.Connection");//创建连接
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p_recordset.CreateInstance("ADODB.Recordset");//创建结果集,也就是实例化
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p_cmd.CreateInstance("ADODB.Command");
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p_conn->CursorLocation = adUseClient; //存储过程同时返回记录集和返回值
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p_conn->Open(_bstr_t(str_conn.c_str()), _bstr_t(userName.c_str()), _bstr_t(password.c_str()), adConnectUnspecified);
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p_cmd->ActiveConnection = p_conn;
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//SELECT KS_ZKZ FROM ZK.V_BYSQ_BJSH_JQ_KS
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//SELECT DISTINCT(KS_ZKZ2) FROM ZK.T_BYSQ_KS_KC WHERE KSSJ BETWEEN '200907' AND '201510'
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//SELECT * FROM ZK.T_BYSQ_KS_KC WHERE (SUBSTR(KS_ZKZ2,1,2) = '02' OR SUBSTR(KS_ZKZ2,1,2) = '03')
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//SELECT KS_ZKZ2 FROM ZK.T_BYSQ_KS_KC WHERE KSSJ between '200907' and '201510' AND (SUBSTR(KS_ZKZ2,1,2) = '02') AND BJSH_JG_JQ IS NULL GROUP BY KS_ZKZ2 HAVING COUNT(KS_ZKZ2)>1
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/*HRESULT hr1 = pRecordset->Open("SELECT KS_ZKZ FROM ZK.T_BYSQ_KS_KC WHERE KSSJ between '200907' and '201510' AND (SUBSTR(KS_ZKZ2,1,2) = '02') AND BJSH_JG_JQ IS NULL GROUP BY KS_ZKZ HAVING COUNT(KS_ZKZ)>1",*/
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/*构造查询语句*/
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int zong_flag = g_db_qurry_zone.length();
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int num_flag = g_db_qurry_stu_num.length();
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int date_flag = g_db_qurry_start.length();
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string str_qurry = "SELECT KS_ZKZ FROM YANNSY.T_BYSQ_KS_KC WHERE KSSJ between ";
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str_qurry += g_db_qurry_start;
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str_qurry += " and ";
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str_qurry += g_db_qurry_end;
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if (num_flag - 1)//长度大于1，就是需要查询学号
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{
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str_qurry += "AND KS_ZKZ = ";
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str_qurry += g_db_qurry_stu_num;
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}
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else//不需要查询单个学号才会有区域的作用范围
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{
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if ((zong_flag - 1))//长度大于1,就是需要查询区域,且查询时间
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{
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str_qurry += " AND(SUBSTR(KS_ZKZ2, 1, 2) = ";
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str_qurry += g_db_qurry_zone;
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str_qurry += ")";
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}
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}
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if (g_db_qurry_all)
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{
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str_qurry += " AND BJSH_JG_JQ IS NULL";
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}
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str_qurry += " GROUP BY KS_ZKZ HAVING COUNT(KS_ZKZ)>1";
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_variant_t _vstr_qurry(str_qurry.c_str());/* 转换string为_variant_t */
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/*查询*/
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HRESULT hr1 = p_recordset->Open(_vstr_qurry,
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p_conn.GetInterfacePtr(),
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adOpenStatic,
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adLockOptimistic,
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adCmdText);
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if (!(SUCCEEDED(hr1))){exit(-1); }//读取不成功，直接退出程序
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do
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{//读取成功，将每一行存到vector的stu末尾
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stu.push_back((string)(_bstr_t)(p_recordset->Fields->GetItem(_variant_t("KS_ZKZ"))->GetValue()));
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p_recordset->MoveNext();//移到下一条
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} while (!p_recordset->EndOfFile);//条件是没有到所有记录的末尾
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}
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catch (_com_error e){ cout << "<提取学号(数据库):>查询失败--" << endl; }
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/*=================================================================================================*/
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//3、关闭查询====//执行读取完毕后要关闭连接
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try {::CoUninitialize();}
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catch (_com_error e){ cout /*<< "<提取学号:关闭失败-->" */<< e.ErrorInfo() << endl; }
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return 1;
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}
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41
测试/服务器测试/输出文件/输出待检测检测文件try catch/DBop.h
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41
测试/服务器测试/输出文件/输出待检测检测文件try catch/DBop.h
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@@ -0,0 +1,41 @@
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/*
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头文件：DBop.h 数据库操作头文件
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*/
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#pragma once
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#import "C:\\Program Files\\Common Files\\System\\ado\\msado15.dll" no_namespace rename("EOF","EndOfFile")
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#include <vector>
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#include <string>
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#include <iostream>
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#include <windows.h>
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#include <iomanip>
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#include <stdio.h>
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using namespace std;
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/*全局变量*/
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extern char g_log_adr[50]; /*全局变量 程序日志存储地址*/
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extern char g_log_rec[500]; /*全局变量 程序日志专用变量*/
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extern FILE *g_log_fpzz; /*全局变量 程序日志专用文件句柄*/
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extern string g_db_hostName; /*全局变量 服务器ip或名称*/
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extern string g_db_dBName; /*全局变量 服务器ODBC数据源*/
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extern string g_db_userName; /*全局变量 服务器用户名*/
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extern string g_db_password; /*全局变量 服务器密码*/
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extern string g_db_qurry_start; /*全局变量 数据库查询_开始日期*/
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extern string g_db_qurry_end; /*全局变量 数据库查询_结束日期*/
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extern string g_db_qurry_zone; /*全局变量 数据库查询_特定区域*/
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extern string g_db_qurry_stu_num; /*全局变量 数据库查询_特定考号*/
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extern bool g_db_qurry_all; /*全局变量 数据库查询_查询全部标记*/
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extern string g_db_hoster_zk; /*全局变量 数据库用户，zk（考试院的zk，本地的yannsy）*/
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/*****************************************函数原型*************************************/
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/**
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功能： 查询所有学生的学号，将所有的指定位置的数据库信息(学号)全部存储在名为stu的vector<string>型的变量中
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||||
|
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@变量 stu 学生学号存储
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@返回值 成功1 失败0
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*/
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int DbStu(vector<string>& stu);
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129
测试/服务器测试/输出文件/输出待检测检测文件try catch/HWCV_exe.dsp
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129
测试/服务器测试/输出文件/输出待检测检测文件try catch/HWCV_exe.dsp
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@@ -0,0 +1,129 @@
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||||
# Microsoft Developer Studio Project File - Name="HWCV_exe" - Package Owner=<4>
|
||||
# Microsoft Developer Studio Generated Build File, Format Version 6.00
|
||||
# ** DO NOT EDIT **
|
||||
|
||||
# TARGTYPE "Win32 (x86) Console Application" 0x0103
|
||||
|
||||
CFG=HWCV_exe - Win32 Debug
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||||
!MESSAGE This is not a valid makefile. To build this project using NMAKE,
|
||||
!MESSAGE use the Export Makefile command and run
|
||||
!MESSAGE
|
||||
!MESSAGE NMAKE /f "HWCV_exe.mak".
|
||||
!MESSAGE
|
||||
!MESSAGE You can specify a configuration when running NMAKE
|
||||
!MESSAGE by defining the macro CFG on the command line. For example:
|
||||
!MESSAGE
|
||||
!MESSAGE NMAKE /f "HWCV_exe.mak" CFG="HWCV_exe - Win32 Debug"
|
||||
!MESSAGE
|
||||
!MESSAGE Possible choices for configuration are:
|
||||
!MESSAGE
|
||||
!MESSAGE "HWCV_exe - Win32 Release" (based on "Win32 (x86) Console Application")
|
||||
!MESSAGE "HWCV_exe - Win32 Debug" (based on "Win32 (x86) Console Application")
|
||||
!MESSAGE
|
||||
|
||||
# Begin Project
|
||||
# PROP AllowPerConfigDependencies 0
|
||||
# PROP Scc_ProjName ""
|
||||
# PROP Scc_LocalPath ""
|
||||
CPP=cl.exe
|
||||
RSC=rc.exe
|
||||
|
||||
!IF "$(CFG)" == "HWCV_exe - Win32 Release"
|
||||
|
||||
# PROP BASE Use_MFC 0
|
||||
# PROP BASE Use_Debug_Libraries 0
|
||||
# PROP BASE Output_Dir "Release"
|
||||
# PROP BASE Intermediate_Dir "Release"
|
||||
# PROP BASE Target_Dir ""
|
||||
# PROP Use_MFC 0
|
||||
# PROP Use_Debug_Libraries 0
|
||||
# PROP Output_Dir "Release"
|
||||
# PROP Intermediate_Dir "Release"
|
||||
# PROP Target_Dir ""
|
||||
# ADD BASE CPP /nologo /W3 /GX /O2 /D "WIN32" /D "NDEBUG" /D "_CONSOLE" /D "_MBCS" /YX /FD /c
|
||||
# ADD CPP /nologo /W3 /GX /O2 /D "WIN32" /D "NDEBUG" /D "_CONSOLE" /D "_MBCS" /YX /FD /c
|
||||
# ADD BASE RSC /l 0x804 /d "NDEBUG"
|
||||
# ADD RSC /l 0x804 /d "NDEBUG"
|
||||
BSC32=bscmake.exe
|
||||
# ADD BASE BSC32 /nologo
|
||||
# ADD BSC32 /nologo
|
||||
LINK32=link.exe
|
||||
# ADD BASE LINK32 kernel32.lib user32.lib gdi32.lib winspool.lib comdlg32.lib advapi32.lib shell32.lib ole32.lib oleaut32.lib uuid.lib odbc32.lib odbccp32.lib kernel32.lib user32.lib gdi32.lib winspool.lib comdlg32.lib advapi32.lib shell32.lib ole32.lib oleaut32.lib uuid.lib odbc32.lib odbccp32.lib /nologo /subsystem:console /machine:I386
|
||||
# ADD LINK32 kernel32.lib user32.lib gdi32.lib winspool.lib comdlg32.lib advapi32.lib shell32.lib ole32.lib oleaut32.lib uuid.lib odbc32.lib odbccp32.lib kernel32.lib user32.lib gdi32.lib winspool.lib comdlg32.lib advapi32.lib shell32.lib ole32.lib oleaut32.lib uuid.lib odbc32.lib odbccp32.lib /nologo /subsystem:console /machine:I386
|
||||
|
||||
!ELSEIF "$(CFG)" == "HWCV_exe - Win32 Debug"
|
||||
|
||||
# PROP BASE Use_MFC 0
|
||||
# PROP BASE Use_Debug_Libraries 1
|
||||
# PROP BASE Output_Dir "Debug"
|
||||
# PROP BASE Intermediate_Dir "Debug"
|
||||
# PROP BASE Target_Dir ""
|
||||
# PROP Use_MFC 0
|
||||
# PROP Use_Debug_Libraries 1
|
||||
# PROP Output_Dir "Debug"
|
||||
# PROP Intermediate_Dir "Debug"
|
||||
# PROP Ignore_Export_Lib 0
|
||||
# PROP Target_Dir ""
|
||||
# ADD BASE CPP /nologo /W3 /Gm /GX /ZI /Od /D "WIN32" /D "_DEBUG" /D "_CONSOLE" /D "_MBCS" /YX /FD /GZ /c
|
||||
# ADD CPP /nologo /W3 /Gm /GX /ZI /Od /I "C:\Program Files (x86)\OpenCV\otherlibs\highgui" /I "C:\Program Files (x86)\OpenCV\ml\include" /I "C:\Program Files (x86)\OpenCV\cv\include" /I "C:\Program Files (x86)\OpenCV\cvaux\include" /I "C:\Program Files (x86)\OpenCV\cxcore\include" /D "WIN32" /D "_DEBUG" /D "_CONSOLE" /D "_MBCS" /YX /FD /GZ /c
|
||||
# ADD BASE RSC /l 0x804 /d "_DEBUG"
|
||||
# ADD RSC /l 0x804 /d "_DEBUG"
|
||||
BSC32=bscmake.exe
|
||||
# ADD BASE BSC32 /nologo
|
||||
# ADD BSC32 /nologo
|
||||
LINK32=link.exe
|
||||
# ADD BASE LINK32 kernel32.lib user32.lib gdi32.lib winspool.lib comdlg32.lib advapi32.lib shell32.lib ole32.lib oleaut32.lib uuid.lib odbc32.lib odbccp32.lib kernel32.lib user32.lib gdi32.lib winspool.lib comdlg32.lib advapi32.lib shell32.lib ole32.lib oleaut32.lib uuid.lib odbc32.lib odbccp32.lib /nologo /subsystem:console /debug /machine:I386 /pdbtype:sept
|
||||
# ADD LINK32 kernel32.lib user32.lib gdi32.lib winspool.lib comdlg32.lib advapi32.lib shell32.lib ole32.lib oleaut32.lib uuid.lib odbc32.lib odbccp32.lib kernel32.lib user32.lib gdi32.lib winspool.lib comdlg32.lib advapi32.lib shell32.lib ole32.lib oleaut32.lib uuid.lib odbc32.lib odbccp32.lib cxcore.lib cv.lib ml.lib cvaux.lib highgui.lib cvcam.lib /nologo /subsystem:console /debug /machine:I386 /pdbtype:sept /libpath:"C:\Program Files (x86)\OpenCV\lib"
|
||||
|
||||
!ENDIF
|
||||
|
||||
# Begin Target
|
||||
|
||||
# Name "HWCV_exe - Win32 Release"
|
||||
# Name "HWCV_exe - Win32 Debug"
|
||||
# Begin Group "Source Files"
|
||||
|
||||
# PROP Default_Filter "cpp;c;cxx;rc;def;r;odl;idl;hpj;bat"
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=.\DBop.cpp
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=.\path.cpp
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=.\segmentation.cpp
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=.\StdAfx.cpp
|
||||
# End Source File
|
||||
# End Group
|
||||
# Begin Group "Header Files"
|
||||
|
||||
# PROP Default_Filter "h;hpp;hxx;hm;inl"
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=.\DBop.h
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=.\path.h
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=.\segmentation.h
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=.\StdAfx.h
|
||||
# End Source File
|
||||
# End Group
|
||||
# Begin Group "Resource Files"
|
||||
|
||||
# PROP Default_Filter "ico;cur;bmp;dlg;rc2;rct;bin;rgs;gif;jpg;jpeg;jpe"
|
||||
# End Group
|
||||
# End Target
|
||||
# End Project
|
||||
29
测试/服务器测试/输出文件/输出待检测检测文件try catch/HWCV_exe.dsw
Normal file
29
测试/服务器测试/输出文件/输出待检测检测文件try catch/HWCV_exe.dsw
Normal file
@@ -0,0 +1,29 @@
|
||||
Microsoft Developer Studio Workspace File, Format Version 6.00
|
||||
# 警告: 不能编辑或删除该工作区文件！
|
||||
|
||||
###############################################################################
|
||||
|
||||
Project: "HWCV_exe"=.\HWCV_exe.dsp - Package Owner=<4>
|
||||
|
||||
Package=<5>
|
||||
{{{
|
||||
}}}
|
||||
|
||||
Package=<4>
|
||||
{{{
|
||||
}}}
|
||||
|
||||
###############################################################################
|
||||
|
||||
Global:
|
||||
|
||||
Package=<5>
|
||||
{{{
|
||||
}}}
|
||||
|
||||
Package=<3>
|
||||
{{{
|
||||
}}}
|
||||
|
||||
###############################################################################
|
||||
|
||||
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/HWCV_exe.opt
Normal file
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/HWCV_exe.opt
Normal file
Binary file not shown.
16
测试/服务器测试/输出文件/输出待检测检测文件try catch/HWCV_exe.plg
Normal file
16
测试/服务器测试/输出文件/输出待检测检测文件try catch/HWCV_exe.plg
Normal file
@@ -0,0 +1,16 @@
|
||||
<html>
|
||||
<body>
|
||||
<pre>
|
||||
<h1>Build Log</h1>
|
||||
<h3>
|
||||
--------------------Configuration: HWCV_exe - Win32 Debug--------------------
|
||||
</h3>
|
||||
<h3>Command Lines</h3>
|
||||
|
||||
|
||||
|
||||
<h3>Results</h3>
|
||||
HWCV_exe.exe - 0 error(s), 0 warning(s)
|
||||
</pre>
|
||||
</body>
|
||||
</html>
|
||||
13
测试/服务器测试/输出文件/输出待检测检测文件try catch/Point.h
Normal file
13
测试/服务器测试/输出文件/输出待检测检测文件try catch/Point.h
Normal file
@@ -0,0 +1,13 @@
|
||||
/*
|
||||
头文件：Point.h 图像中的像素点定义
|
||||
*/
|
||||
#pragma once
|
||||
class Point{
|
||||
private:
|
||||
|
||||
public:
|
||||
int x;
|
||||
int y;
|
||||
|
||||
void setpoint(int a,int b){x=a;y=b;}
|
||||
};
|
||||
8
测试/服务器测试/输出文件/输出待检测检测文件try catch/StdAfx.cpp
Normal file
8
测试/服务器测试/输出文件/输出待检测检测文件try catch/StdAfx.cpp
Normal file
@@ -0,0 +1,8 @@
|
||||
// stdafx.cpp : source file that includes just the standard includes
|
||||
// HWCV.pch will be the pre-compiled header
|
||||
// stdafx.obj will contain the pre-compiled type information
|
||||
|
||||
#include "stdafx.h"
|
||||
|
||||
// TODO: reference any additional headers you need in STDAFX.H
|
||||
// and not in this file
|
||||
24
测试/服务器测试/输出文件/输出待检测检测文件try catch/StdAfx.h
Normal file
24
测试/服务器测试/输出文件/输出待检测检测文件try catch/StdAfx.h
Normal file
@@ -0,0 +1,24 @@
|
||||
// stdafx.h : include file for standard system include files,
|
||||
// or project specific include files that are used frequently, but
|
||||
// are changed infrequently
|
||||
//
|
||||
|
||||
#if !defined(AFX_STDAFX_H__0B833134_257D_4F21_9707_24C780138809__INCLUDED_)
|
||||
#define AFX_STDAFX_H__0B833134_257D_4F21_9707_24C780138809__INCLUDED_
|
||||
|
||||
#if _MSC_VER > 1000
|
||||
#pragma once
|
||||
#endif // _MSC_VER > 1000
|
||||
|
||||
|
||||
// Insert your headers here
|
||||
#define WIN32_LEAN_AND_MEAN // Exclude rarely-used stuff from Windows headers
|
||||
|
||||
#include <windows.h>
|
||||
|
||||
// TODO: reference additional headers your program requires here
|
||||
|
||||
//{{AFX_INSERT_LOCATION}}
|
||||
// Microsoft Visual C++ will insert additional declarations immediately before the previous line.
|
||||
|
||||
#endif // !defined(AFX_STDAFX_H__0B833134_257D_4F21_9707_24C780138809__INCLUDED_)
|
||||
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/calibfilter.ax
Normal file
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/calibfilter.ax
Normal file
Binary file not shown.
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/createsamples.exe
Normal file
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/createsamples.exe
Normal file
Binary file not shown.
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/cv100.dll
Normal file
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/cv100.dll
Normal file
Binary file not shown.
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/cvaux100.dll
Normal file
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/cvaux100.dll
Normal file
Binary file not shown.
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/cvcam100.dll
Normal file
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/cvcam100.dll
Normal file
Binary file not shown.
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/cvinfo.exe
Normal file
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/cvinfo.exe
Normal file
Binary file not shown.
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/cvtest.exe
Normal file
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/cvtest.exe
Normal file
Binary file not shown.
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/cxcore100.dll
Normal file
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/cxcore100.dll
Normal file
Binary file not shown.
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/cxcoretest.exe
Normal file
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/cxcoretest.exe
Normal file
Binary file not shown.
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/cxts001.dll
Normal file
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/cxts001.dll
Normal file
Binary file not shown.
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/haartraining.exe
Normal file
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/haartraining.exe
Normal file
Binary file not shown.
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/highgui100.dll
Normal file
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/highgui100.dll
Normal file
Binary file not shown.
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/libguide40.dll
Normal file
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/libguide40.dll
Normal file
Binary file not shown.
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/ml100.dll
Normal file
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/ml100.dll
Normal file
Binary file not shown.
267
测试/服务器测试/输出文件/输出待检测检测文件try catch/path.cpp
Normal file
267
测试/服务器测试/输出文件/输出待检测检测文件try catch/path.cpp
Normal file
@@ -0,0 +1,267 @@
|
||||
/*
|
||||
实现文件：path.cpp 路径操作实现文件
|
||||
*/
|
||||
#include "path.h"
|
||||
|
||||
|
||||
/**
|
||||
获取并返回当前时间
|
||||
*/
|
||||
char* GetTime()
|
||||
{
|
||||
time( <ime );
|
||||
srcTime = ctime( <ime );
|
||||
strncpy(timeNow, srcTime, strlen(srcTime)-1); //不拷贝换行
|
||||
timeNow[strlen(srcTime)-1] = '\0'; //加结束符'\0'
|
||||
|
||||
return timeNow;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
根据学生信息创建文件路径，用于文件读取
|
||||
|
||||
@变量 date 考试日期
|
||||
@变量 subject 考试科目
|
||||
@变量 stuNum 考号
|
||||
@返回值 返回生成的文件路径
|
||||
*/
|
||||
string CrPath(string date, string subject, string stuNum)
|
||||
{
|
||||
string temp = g_dir; temp += date; temp += "/";
|
||||
temp += subject.substr(0, 4); temp += "/";
|
||||
temp += stuNum; temp += ".jpg";
|
||||
|
||||
return temp;
|
||||
}
|
||||
|
||||
|
||||
/*
|
||||
功能：读取标准差文件
|
||||
@变量 filesname 文件名
|
||||
@变量 col 行数
|
||||
@变量 _vector 读取到的标准差存到vector中
|
||||
@返回值 成功1失败0
|
||||
*/
|
||||
int ReadScanf(const string &filename, const int &cols, vector<double *> &_vector)
|
||||
{
|
||||
// 功能：将filename 中的数据（共cols列）读取到_vector中，_vector可视为二维数组
|
||||
FILE *fp = fopen(filename.c_str(), "r");//打开并读取文件
|
||||
bool flag = true;
|
||||
int i = 0;
|
||||
|
||||
// printf("--read_scanf--");
|
||||
if (!fp){ return 0; }
|
||||
while (flag){
|
||||
double *point = new double[cols];
|
||||
for (i = 0; i<cols; i++){ //读取数据，存在_vector[cols]中
|
||||
if (EOF == fscanf(fp, "%lf", &point[i])) {
|
||||
flag = false; break;
|
||||
}
|
||||
if (EOF == fgetc(fp)) {
|
||||
flag = false; i++; break;
|
||||
}
|
||||
}
|
||||
if (cols == i)
|
||||
_vector.push_back(point);
|
||||
}
|
||||
fclose(fp);
|
||||
|
||||
return 1;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
读取配置文件，并配置各项参数
|
||||
|
||||
@变量 filename 配置文件的路径
|
||||
@返回值 成功1 失败0
|
||||
*/
|
||||
int ReadConfig(char *filename)
|
||||
{
|
||||
ifstream file(filename);
|
||||
|
||||
if (!file)/*"配置文件不存在！"*/
|
||||
{
|
||||
/*写入时间*/
|
||||
memset(g_log_rec, 0, sizeof(g_log_rec));
|
||||
cout<<"read"<<endl;
|
||||
|
||||
strcat(g_log_rec, "--ERR:配置文件不存在!");
|
||||
SaveLog(g_log_rec, g_err_adr, "a");
|
||||
|
||||
return 0;
|
||||
}
|
||||
|
||||
/*步骤：开始读取信息*/
|
||||
|
||||
string temp;/*仅用作过滤字符*/
|
||||
file >> temp >> temp;
|
||||
/*---此行6个，参考配置信息：图片对比参数*/
|
||||
file >> temp >> temp >> temp >> temp >> temp >>temp;
|
||||
file >> g_dir >> temp >> temp >> temp;
|
||||
string g_log_adr_t;
|
||||
file >> g_log_adr_t >> temp;
|
||||
|
||||
memset(g_log_adr, 0, sizeof(g_log_adr));
|
||||
strcpy(g_log_adr, (char*)g_log_adr_t.c_str());
|
||||
|
||||
//if (g_bi_threshold < 0 || g_bi_threshold >255)/*输出到日志错误信息*/{
|
||||
// memset(g_log_rec, 0, sizeof(g_log_rec));
|
||||
// strcat(g_log_rec, "--MSG:配置参数有误-笔迹图像对比参数!");
|
||||
// strcat(g_log_rec, g_dir.c_str());
|
||||
// SaveLog(g_log_rec, g_err_adr, "a");
|
||||
|
||||
// return 0;
|
||||
//}
|
||||
|
||||
|
||||
/*---此行6个，参考配置信息：网络配置参数*/
|
||||
file >> temp >> temp >> g_db_hostName >> temp >> g_db_dBName >> temp >> g_db_userName >> temp >> g_db_password >> temp >> g_db_hoster_zk >> temp;
|
||||
|
||||
///*检验参数*/
|
||||
////if (strcmp(g_db_hostName.c_str(), "") || g_bi_threshold >255 || g_bi_threshold < 1)/*输出到日志错误信息*/{
|
||||
// memset(g_log_rec, 0, sizeof(g_log_rec));
|
||||
// /*time_t timer;
|
||||
// struct tm *tblock;
|
||||
// timer = time(NULL);
|
||||
// tblock = localtime(&timer);
|
||||
// strcat(g_log_rec, asctime(tblock));*/
|
||||
// strcat(g_log_rec, "--MSG:-网络配置参数!");
|
||||
// strcat(g_log_rec, g_db_password.c_str());
|
||||
// strcat(g_log_rec, "\n");
|
||||
|
||||
// SaveLog(g_log_rec, g_err_adr, "a");
|
||||
|
||||
// return 0;
|
||||
// }
|
||||
|
||||
|
||||
/*---此行5个，参考配置信息：控制参数*/
|
||||
file >> temp >> temp >> temp >> temp >> temp >> temp >> temp >> temp >> temp >> temp >> temp >> temp;
|
||||
|
||||
///*检验参数*/
|
||||
//if (0)/*输出到日志错误信息*/{
|
||||
// memset(g_log_rec, 0, sizeof(g_log_rec));
|
||||
///* time_t timer;
|
||||
// struct tm *tblock;
|
||||
// timer = time(NULL);
|
||||
// tblock = localtime(&timer);
|
||||
// strcat(g_log_rec, asctime(tblock));*/
|
||||
// strcat(g_log_rec, "--ERR:配置参数有误-控制参数!");
|
||||
// SaveLog(g_log_rec, g_err_adr, "a");
|
||||
|
||||
// return 0;
|
||||
//}
|
||||
|
||||
/*---此行5个，参考配置信息：数据库查询参数*/
|
||||
file >> temp >> temp >> g_db_qurry_start >> temp >> g_db_qurry_end >> temp >> g_db_qurry_zone >> temp >> g_db_qurry_stu_num >> temp >> g_db_qurry_all >> temp;
|
||||
|
||||
///*检验参数*/
|
||||
//if (0)/*输出到日志错误信息*/{
|
||||
// memset(g_log_rec, 0, sizeof(g_log_rec));
|
||||
// /*time_t timer;
|
||||
// struct tm *tblock;
|
||||
// timer = time(NULL);
|
||||
// tblock = localtime(&timer);
|
||||
// strcat(g_log_rec, asctime(tblock));*/
|
||||
// strcat(g_log_rec, "--ERR:配置参数有误-数据库查询参数!");
|
||||
// SaveLog(g_log_rec, g_err_adr, "a");
|
||||
|
||||
// return 0;
|
||||
//}
|
||||
|
||||
|
||||
|
||||
//if (g_doubt_threshold < 0.01)
|
||||
//{
|
||||
// memset(g_log_rec, 0, sizeof(g_log_rec));
|
||||
// /*time_t timer;
|
||||
// struct tm *tblock;
|
||||
// timer = time(NULL);
|
||||
// tblock = localtime(&timer);
|
||||
// strcat(g_log_rec, asctime(tblock));*/
|
||||
// strcat(g_log_rec, "--ERR:配置参数有误-笔迹图像对比参数!");
|
||||
// SaveLog(g_log_rec, g_err_adr, "a");
|
||||
//
|
||||
// return 0;
|
||||
//}
|
||||
|
||||
//if (g_conti < 0 || g_conti > 10 || g_conti == NULL)
|
||||
//{
|
||||
// memset(g_log_rec, 0, sizeof(g_log_rec));
|
||||
///* time_t timer;
|
||||
// struct tm *tblock;
|
||||
// timer = time(NULL);
|
||||
// tblock = localtime(&timer);
|
||||
// strcat(g_log_rec, asctime(tblock));*/
|
||||
// strcat(g_log_rec, "--ERR:配置参数有误-笔迹图像对比参数!\n\n");
|
||||
// SaveLog(g_log_rec, g_err_adr, "a");
|
||||
|
||||
// return 0;
|
||||
//}
|
||||
file.close();/*关闭文件句柄*/
|
||||
|
||||
return 1;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
函数功能：存储过程数据到txt文件
|
||||
|
||||
@变量： record 存储的语句
|
||||
@变量 g_txt_file_path 存储的位置
|
||||
@返回值 1成功 0失败
|
||||
*/
|
||||
int SaveLog(char *txt, string txt_file_path, char *type)
|
||||
{
|
||||
FILE* fpzz = fopen(txt_file_path.c_str(), type); //创建文件
|
||||
if (NULL == fpzz)
|
||||
{
|
||||
return 0;
|
||||
}//要返回错误代码
|
||||
fprintf(fpzz, txt); //从控制台中读入并在文本输出
|
||||
fclose(fpzz);
|
||||
fpzz = NULL;//需要指向空，否则会指向原打开文件地址
|
||||
|
||||
return 1;
|
||||
}
|
||||
|
||||
|
||||
/*
|
||||
功能：保存中间鉴定图像(不实现，没有必要)
|
||||
@变量
|
||||
@变量
|
||||
@返回值
|
||||
*/
|
||||
int SaveImg(IplImage *img, char *g_process_img_adr){
|
||||
/*char processPic[100] = "E:/imggj/";
|
||||
char *namePic = new char[20];
|
||||
bool flag = false;
|
||||
string xuehao = path, kaoshihao = path;
|
||||
int num_iter = sizeof(path);
|
||||
for (int iter = 0; iter < num_iter; iter++)
|
||||
{
|
||||
if (path[iter] == 'x')
|
||||
{
|
||||
flag = true;
|
||||
break;
|
||||
}
|
||||
}
|
||||
if (flag)
|
||||
{
|
||||
xuehao = xuehao.substr(27, 13);
|
||||
kaoshihao = kaoshihao.substr(40, 5);
|
||||
}
|
||||
else
|
||||
{
|
||||
xuehao = xuehao.substr(27, 12);
|
||||
kaoshihao = kaoshihao.substr(39, 5);
|
||||
}
|
||||
strcat(processPic, xuehao.c_str());
|
||||
_mkdir(processPic);
|
||||
strcat(processPic, kaoshihao.c_str());
|
||||
strcat(processPic, ".jpg");
|
||||
cvSaveImage(processPic, imggj);*/
|
||||
return 1;
|
||||
}
|
||||
98
测试/服务器测试/输出文件/输出待检测检测文件try catch/path.h
Normal file
98
测试/服务器测试/输出文件/输出待检测检测文件try catch/path.h
Normal file
@@ -0,0 +1,98 @@
|
||||
/*
|
||||
头文件：path.h 与路径相关操作的函数头文件以及函数原型
|
||||
*/
|
||||
#pragma once
|
||||
#include <iostream>
|
||||
#include <fstream>
|
||||
#include <string>
|
||||
#include <vector>
|
||||
#include <ctime>
|
||||
#include <cv.h>
|
||||
#include <io.h>
|
||||
using namespace std;
|
||||
|
||||
|
||||
extern int g_bi_threshold; /*全局变量 二值化阈值*/
|
||||
extern double g_std_kesa[50][50]; /*全局变量 标准差数组*/
|
||||
extern float g_doubt_threshold; /*全局变量 作弊嫌疑阈值*/
|
||||
extern string g_dir; /*全局变量 总路径的目录*/
|
||||
extern int g_conti; /*全局变量 比较标准*/
|
||||
|
||||
extern string g_db_hostName; /*全局变量 服务器ip或名称*/
|
||||
extern string g_db_dBName; /*全局变量 服务器ODBC数据源*/
|
||||
extern string g_db_userName; /*全局变量 服务器用户名*/
|
||||
extern string g_db_password; /*全局变量 服务器密码*/
|
||||
|
||||
extern char g_log_adr[50]; /*全局变量 程序日志存储地址*/
|
||||
extern char g_err_adr[50]; /*全局变量 错误日志存储地址*/
|
||||
extern char g_log_rec[500]; /*全局变量 程序日志专用变量*/
|
||||
/*全局变量 待定*/
|
||||
/*全局变量 待定*/
|
||||
|
||||
extern string g_db_qurry_start; /*全局变量 数据库查询_开始日期*/
|
||||
extern string g_db_qurry_end; /*全局变量 数据库查询_结束日期*/
|
||||
extern string g_db_qurry_zone; /*全局变量 数据库查询_特定区域*/
|
||||
extern string g_db_qurry_stu_num; /*全局变量 数据库查询_特定考号*/
|
||||
extern bool g_db_qurry_all; /*全局变量 数据库查询_查询全部标记*/
|
||||
extern string g_db_hoster_zk;
|
||||
|
||||
|
||||
|
||||
extern time_t ltime;
|
||||
extern char *srcTime;
|
||||
extern char timeNow[22];
|
||||
extern char msg[100];
|
||||
|
||||
/**
|
||||
获取并返回当前时间
|
||||
*/
|
||||
char* GetTime();
|
||||
|
||||
|
||||
/**
|
||||
根据学生信息创建文件路径，用于文件读取
|
||||
|
||||
@变量 date 考试日期
|
||||
@变量 subject 考试科目
|
||||
@变量 stuNum 考号
|
||||
@返回值 返回生成的文件路径
|
||||
*/
|
||||
string CrPath(string date, string subject, string stuNum);
|
||||
|
||||
|
||||
/*
|
||||
功能：读取标准差文件
|
||||
@变量 filesname 文件名
|
||||
@变量 col 行数
|
||||
@变量 _vector 读取到的标准差存到vector中
|
||||
@返回值 成功1失败0
|
||||
*/
|
||||
int ReadScanf(const string &filename, const int &cols, vector<double *> &_vector);
|
||||
|
||||
|
||||
/**
|
||||
读取配置文件，并配置各项参数
|
||||
|
||||
@变量 filename 配置文件的路径
|
||||
@返回值 成功1 失败0
|
||||
*/
|
||||
int ReadConfig(char *filename);
|
||||
|
||||
|
||||
/**
|
||||
函数功能：存储过程数据到txt文件
|
||||
|
||||
@变量： record 存储的语句
|
||||
@变量 g_txt_file_path 存储的位置
|
||||
@返回值 1成功 0失败
|
||||
*/
|
||||
int SaveLog(char *record, string txt_file_path, char *type);
|
||||
|
||||
|
||||
/*
|
||||
功能：保存中间鉴定图像
|
||||
@变量
|
||||
@变量
|
||||
@返回值
|
||||
*/
|
||||
int SaveImg(IplImage *img, char *g_process_img_adr);
|
||||
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/performance.exe
Normal file
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/performance.exe
Normal file
Binary file not shown.
667
测试/服务器测试/输出文件/输出待检测检测文件try catch/process.cpp
Normal file
667
测试/服务器测试/输出文件/输出待检测检测文件try catch/process.cpp
Normal file
@@ -0,0 +1,667 @@
|
||||
/*
|
||||
实现文件：process.cpp 图像处理过程的实现文件
|
||||
*/
|
||||
#include "process.h"
|
||||
|
||||
/*
|
||||
功能：读入图像文件，进行二值化
|
||||
|
||||
@变量 img iplimage图像文件
|
||||
@变量 bithro 二值化阈值
|
||||
@返回值 黑像素的数目（待用）
|
||||
*/
|
||||
int* binary(IplImage* img, int g_bi_threshold)
|
||||
{
|
||||
int height, width, step, channels;
|
||||
uchar *data;
|
||||
int i, j;
|
||||
static int black[1000]; //C语言不提倡返回一个局部变量的地址以外的功能，所以你必须定义的局部变量，如静态变量。
|
||||
/* 获取图像信息*/
|
||||
height = img->height;
|
||||
width = img->width;
|
||||
step = img->widthStep;
|
||||
channels = img->nChannels;
|
||||
data = (uchar *)img->imageData;
|
||||
|
||||
/*二值化，并统计黑像素的个数*/
|
||||
for (i = 0; i<height; i++)
|
||||
{
|
||||
for (j = 0; j<width; j++)//对图像每个点进行二值化,原值为128
|
||||
data[i*step + j*channels] = (data[i*step + j*channels]>g_bi_threshold) ? 255 : 0;
|
||||
}
|
||||
|
||||
/*计算每一行的黑像素个数*/
|
||||
int tempBlackPixel = 0;
|
||||
|
||||
memset(black, 0, 1000); //##初始化内存，这里用做清零black数组
|
||||
for (i = height - 1; i>0; i--)
|
||||
{
|
||||
for (int j = 0; j<width; j++)
|
||||
{
|
||||
if (data[i*step + j*channels] == 0) //计算黑色的像素数
|
||||
tempBlackPixel += 1;
|
||||
}
|
||||
black[height - i] = tempBlackPixel; //black记录黑色像素数
|
||||
tempBlackPixel = 0;
|
||||
}
|
||||
//二值化，并统计黑像素的个数**********
|
||||
return black;
|
||||
}
|
||||
|
||||
|
||||
|
||||
/*
|
||||
功能：读入图像文件，对图像进行裁剪
|
||||
|
||||
@变量 img iplimage图像文件
|
||||
@变量 img 裁剪后的iplimage图像文件
|
||||
@jbwhite
|
||||
@jbblack
|
||||
@返回值 返回裁剪后的图像
|
||||
*/
|
||||
IplImage* Cjbsb(IplImage* img, IplImage* imgjbsb, int jbwhite, int jbblack)
|
||||
{
|
||||
/*定义变量*/
|
||||
int i, j, jbi = 0, jbj = 0;
|
||||
int height, width, step, channels;
|
||||
uchar *data;
|
||||
int brklab = 0;
|
||||
/* 获取图像信息*/
|
||||
height = img->height;
|
||||
width = img->width;
|
||||
step = img->widthStep;
|
||||
channels = img->nChannels;
|
||||
data = (uchar *)img->imageData;
|
||||
|
||||
// IplImage* imgjbsb = cvCreateImage(cvGetSize(img),img->depth,img->nChannels);
|
||||
cvCopy(img, imgjbsb, NULL);
|
||||
uchar *imgjbsbdata = (uchar *)imgjbsb->imageData;
|
||||
|
||||
//以角标为起点进行裁剪与画框
|
||||
CvSize jbcjsize = cvSize(835, 165); //角标裁剪框的大小，宽为835象素，高为165象素
|
||||
IplImage* imgjbcj = cvCreateImage(jbcjsize, img->depth, img->nChannels);
|
||||
uchar *imgjbcjdata = (uchar *)imgjbcj->imageData;
|
||||
int jbcjstep = imgjbcj->widthStep;
|
||||
int jbcjchannels = imgjbcj->nChannels;
|
||||
for (i = 0; i<165; i++)
|
||||
for (j = 0; j<835; j++)
|
||||
imgjbcjdata[i*jbcjstep + j*jbcjchannels] = data[(i + jbi)*step + (j + jbj)*channels];
|
||||
for (i = 0; i<165; i = i + 2)
|
||||
{
|
||||
imgjbsbdata[(i + jbi)*step + jbj*channels] = 0;
|
||||
imgjbsbdata[(i + jbi)*step + (jbj + 835)*channels] = 0;
|
||||
}
|
||||
for (j = 0; j<835; j = j + 2)
|
||||
{
|
||||
imgjbsbdata[jbi*step + (j + jbj)*channels] = 0;
|
||||
imgjbsbdata[(jbi + 165)*step + (j + jbj)*channels] = 0;
|
||||
}
|
||||
|
||||
return imgjbcj;
|
||||
}
|
||||
|
||||
|
||||
/*
|
||||
功能：计算图像的特征
|
||||
|
||||
@变量 imgbj 笔迹部分的图像
|
||||
@返回值 计算得到的特征图像
|
||||
*/
|
||||
IplImage* outline(IplImage* imgbj)
|
||||
{
|
||||
/*定义变量*/
|
||||
int i, j;
|
||||
int height, width, step, channels;
|
||||
uchar *data;
|
||||
|
||||
/*定义新的图像*/
|
||||
IplImage* imglk = cvCreateImage(cvGetSize(imgbj), imgbj->depth, imgbj->nChannels);
|
||||
|
||||
/* 获取图像信息*/
|
||||
height = imgbj->height;
|
||||
width = imgbj->width;
|
||||
step = imgbj->widthStep;
|
||||
channels = imgbj->nChannels;
|
||||
data = (uchar *)imgbj->imageData;
|
||||
|
||||
// printf("--outline--");
|
||||
for (j = 0; j<height; j++){
|
||||
for (i = 0; i<width; i++){
|
||||
imglk->imageData[j*step + i*channels] = 255;
|
||||
}
|
||||
for (i = 0; i<width - 1; i++){
|
||||
if (data[j*step + (i + 1)*channels] - data[j*step + i*channels] == 255) //竖线右侧框
|
||||
imglk->imageData[j*step + i*channels] = 0;
|
||||
else if (data[j*step + i*channels] - data[j*step + (i + 1)*channels] == 255) //竖线左侧框
|
||||
imglk->imageData[j*step + (i + 1)*channels] = 0;
|
||||
}
|
||||
}
|
||||
|
||||
for (i = 0; i<width; i++){
|
||||
for (j = 0; j<height - 1; j++){
|
||||
if (data[j*step + i*channels] - data[(j + 1)*step + i*channels] == 255) //横线下侧框
|
||||
imglk->imageData[(j + 1)*step + i*channels] = 0;
|
||||
else if (data[(j + 1)*step + i*channels] - data[j*step + i*channels] == 255) //横线上侧框
|
||||
imglk->imageData[j*step + i*channels] = 0;
|
||||
}
|
||||
}
|
||||
return imglk;
|
||||
}
|
||||
|
||||
|
||||
/*
|
||||
功能：输入图像的特征轮廓图，返回图像的特征值
|
||||
@变量 imglk 输入的图像轮廓图
|
||||
@变量 feature 得到的图像特征
|
||||
@返回值 成功1失败0
|
||||
*/
|
||||
int outlinefeature(IplImage* imglk, int feature[][50])
|
||||
{
|
||||
//定义变量
|
||||
int i, j;
|
||||
int height, width, step, channels;
|
||||
uchar *data;
|
||||
|
||||
int feat[50][50] = { 0 }; //特征值初始化
|
||||
Point featblk[32]; //标记相同H的黑点坐标
|
||||
int featk; //标记相同H的黑点数目
|
||||
int m; //for 里面的变量
|
||||
// printf("--outlinefeature--");
|
||||
// 获取图像信息
|
||||
height = imglk->height;
|
||||
width = imglk->width;
|
||||
step = imglk->widthStep;
|
||||
channels = imglk->nChannels;
|
||||
data = (uchar *)imglk->imageData;
|
||||
|
||||
//初始化特征矩阵 最大值为47 ，非空的特征字有1081个
|
||||
int outllab[9][9] = { \
|
||||
{3, 37, 10, 36, 2, 35, 9, 34, 1}, { 38, 3, 21, 20, 2, 19, 18, 1, 33 }, \
|
||||
{11, 22, 3, 10, 2, 9, 1, 17, 8}, { 39, 23, 11, 3, 2, 1, 8, 16, 32 }, \
|
||||
{4, 4, 4, 4, 0, 0, 0, 0, 0}, { 40, 24, 12, 5, 6, 7, 15, 31, 47 }, \
|
||||
{12, 25, 5, 13, 6, 14, 7, 30, 15}, { 41, 5, 26, 27, 6, 28, 29, 7, 46 }, \
|
||||
{5, 42, 13, 43, 6, 44, 14, 45, 7} };
|
||||
|
||||
|
||||
for (i = 4; i <= width - 5; i++){
|
||||
for (j = 4; j <= height - 5; j++){
|
||||
if (data[j*step + i*channels] == 0){
|
||||
//**************H=1
|
||||
|
||||
memset(featblk, 0, sizeof(Point) * 32); //归零
|
||||
featk = 0;
|
||||
if (data[j*step + (i + 1)*channels] == 0){ //右侧点
|
||||
featblk[featk].x = i + 1;
|
||||
featblk[featk].y = j;
|
||||
featk++;
|
||||
}
|
||||
for (m = i + 1; m >= i - 1; m--){ //上排点
|
||||
if (data[(j - 1)*step + m*channels] == 0) {
|
||||
featblk[featk].x = m;
|
||||
featblk[featk].y = j - 1;
|
||||
featk++;
|
||||
}
|
||||
}
|
||||
if (data[j*step + (i - 1)*channels] == 0){ //左侧点
|
||||
featblk[featk].x = i - 1;
|
||||
featblk[featk].y = j;
|
||||
featk++;
|
||||
}
|
||||
for (m = i - 1; m <= i + 1; m++) { //下排点
|
||||
if (data[(j + 1)*step + m*channels] == 0){
|
||||
featblk[featk].x = m;
|
||||
featblk[featk].y = j + 1;
|
||||
featk++;
|
||||
}
|
||||
}
|
||||
//统计特征点
|
||||
if (featk >= 2){
|
||||
for (m = 1; m <= featk - 1; m++){
|
||||
feat[outllab[featblk[m - 1].x - i + 4][featblk[m - 1].y - j + 4]][outllab[featblk[m].x - i + 4][featblk[m].y - j + 4]]++;
|
||||
}
|
||||
}
|
||||
//H=1*******************
|
||||
|
||||
|
||||
//*********************H=2
|
||||
memset(featblk, 0, sizeof(Point) * 32); //归零
|
||||
featk = 0;
|
||||
|
||||
for (m = j + 1; m >= j - 2; m--){
|
||||
if (data[m*step + (i + 2)*channels] == 0){ //右排点
|
||||
featblk[featk].x = i + 2;
|
||||
featblk[featk].y = m;
|
||||
featk++;
|
||||
}
|
||||
}
|
||||
for (m = i + 1; m >= i - 2; m--){ //上排点
|
||||
if (data[(j - 2)*step + m*channels] == 0){
|
||||
featblk[featk].x = m;
|
||||
featblk[featk].y = j - 2;
|
||||
featk++;
|
||||
}
|
||||
}
|
||||
for (m = j - 1; m <= j + 2; m++){ //左侧点
|
||||
if (data[m*step + (i - 2)*channels] == 0){
|
||||
featblk[featk].x = i - 2;
|
||||
featblk[featk].y = m;
|
||||
featk++;
|
||||
}
|
||||
}
|
||||
for (m = i - 1; m <= i + 2; m++){ //下排点
|
||||
if (data[(j + 2)*step + m*channels] == 0){
|
||||
featblk[featk].x = m;
|
||||
featblk[featk].y = j + 2;
|
||||
featk++;
|
||||
}
|
||||
}
|
||||
//统计特征点
|
||||
if (featk >= 2){
|
||||
for (m = 1; m <= featk - 1; m++){
|
||||
feat[outllab[featblk[m - 1].x - i + 4][featblk[m - 1].y - j + 4]][outllab[featblk[m].x - i + 4][featblk[m].y - j + 4]]++;
|
||||
}
|
||||
}
|
||||
//H=2********************
|
||||
|
||||
//*********************H=3
|
||||
memset(featblk, 0, sizeof(Point) * 32); //归零
|
||||
featk = 0;
|
||||
|
||||
for (m = j + 2; m >= j - 3; m--){
|
||||
if (data[m*step + (i + 3)*channels] == 0){ //右排点
|
||||
featblk[featk].x = i + 3;
|
||||
featblk[featk].y = m;
|
||||
featk++;
|
||||
}
|
||||
}
|
||||
for (m = i + 2; m >= i - 3; m--){ //上排点
|
||||
if (data[(j - 3)*step + m*channels] == 0){
|
||||
featblk[featk].x = m;
|
||||
featblk[featk].y = j - 3;
|
||||
featk++;
|
||||
}
|
||||
}
|
||||
for (m = j - 2; m <= j + 3; m++){ //左侧点
|
||||
if (data[m*step + (i - 3)*channels] == 0){
|
||||
featblk[featk].x = i - 3;
|
||||
featblk[featk].y = m;
|
||||
featk++;
|
||||
}
|
||||
}
|
||||
for (m = i - 2; m <= i + 3; m++){ //下排点
|
||||
if (data[(j + 3)*step + m*channels] == 0){
|
||||
featblk[featk].x = m;
|
||||
featblk[featk].y = j + 3;
|
||||
featk++;
|
||||
}
|
||||
}
|
||||
//统计特征点
|
||||
if (featk >= 2){
|
||||
for (m = 1; m <= featk - 1; m++){
|
||||
feat[outllab[featblk[m - 1].x - i + 4][featblk[m - 1].y - j + 4]][outllab[featblk[m].x - i + 4][featblk[m].y - j + 4]]++;
|
||||
}
|
||||
}
|
||||
//H=3********************
|
||||
|
||||
//*********************H=4
|
||||
memset(featblk, 0, sizeof(Point) * 32); //归零
|
||||
featk = 0;
|
||||
|
||||
for (m = j + 3; m >= j - 4; m--){
|
||||
if (data[m*step + (i + 4)*channels] == 0){ //右排点
|
||||
featblk[featk].x = i + 4;
|
||||
featblk[featk].y = m;
|
||||
featk++;
|
||||
}
|
||||
}
|
||||
for (m = i + 3; m >= i - 4; m--) { //上排点
|
||||
if (data[(j - 4)*step + m*channels] == 0){
|
||||
featblk[featk].x = m;
|
||||
featblk[featk].y = j - 4;
|
||||
featk++;
|
||||
}
|
||||
}
|
||||
for (m = j - 3; m <= j + 4; m++){ //左侧点
|
||||
if (data[m*step + (i - 4)*channels] == 0){
|
||||
featblk[featk].x = i - 4;
|
||||
featblk[featk].y = m;
|
||||
featk++;
|
||||
}
|
||||
}
|
||||
for (m = i - 3; m <= i + 4; m++){ //下排点
|
||||
if (data[(j + 4)*step + m*channels] == 0){
|
||||
featblk[featk].x = m;
|
||||
featblk[featk].y = j + 4;
|
||||
featk++;
|
||||
}
|
||||
}
|
||||
//统计特征点
|
||||
if (featk >= 2){
|
||||
for (m = 1; m <= featk - 1; m++){
|
||||
feat[outllab[featblk[m - 1].x - i + 4][featblk[m - 1].y - j + 4]][outllab[featblk[m].x - i + 4][featblk[m].y - j + 4]]++;
|
||||
}
|
||||
}
|
||||
//H=4***********************
|
||||
}// if
|
||||
} //for j
|
||||
} //for i
|
||||
|
||||
//****注：最终特征值为feat(x,y)+feat(y,x)，放入feat(x,y)中，x<y
|
||||
for (i = 1; i<50; i++)
|
||||
for (j = 0; j<i; j++){
|
||||
feat[j][i] = feat[i][j] + feat[j][i];
|
||||
feat[i][j] = 0;
|
||||
}
|
||||
memcpy(feature, feat, 2500 * 4); //int有四个字节
|
||||
// printf("轮廓特征值计算完成\n");
|
||||
return 0;
|
||||
}
|
||||
|
||||
|
||||
/*
|
||||
功能：对单张图像的处理，最终得到一个特征值，用来计算各个图像之间的卡方距离
|
||||
|
||||
@变量 path 图像的物理地址
|
||||
@变量 feature 图像的特征值
|
||||
@返回值 处理后的图像
|
||||
*/
|
||||
IplImage* singlefeature(char* path, int feature[][50])
|
||||
{
|
||||
//定义变量
|
||||
//原图
|
||||
IplImage* imglk = 0; //轮廓图
|
||||
IplImage* imggj = 0; //骨架图
|
||||
IplImage* imgjbsb = 0; //角标识别图
|
||||
IplImage* imgbj = 0; //只提取笔记部分的图像
|
||||
IplImage* imgbjhf = 0; //为文字区域画上方格
|
||||
IplImage* imgwzbj = 0; //为文字区域标出是否为文字（文字标记）
|
||||
|
||||
int height, width, step, channels;
|
||||
uchar *data;
|
||||
|
||||
int i, j; //用于返回图像每行黑像素的个数
|
||||
//int feature[50][50]={0}; //特征值初始化
|
||||
|
||||
IplImage* img = cvLoadImage(path, 0);
|
||||
|
||||
/* 获取图像信息*/
|
||||
SaveLog("s\n", g_log_adr, "a");
|
||||
height = img->height;
|
||||
SaveLog("d\n", g_log_adr, "a");
|
||||
width = img->width;
|
||||
step = img->widthStep;
|
||||
channels = img->nChannels;
|
||||
data = (uchar *)img->imageData;
|
||||
|
||||
/*开始处理*/
|
||||
|
||||
/*图像放大*/
|
||||
IplImage* imgbig = 0; //原图的放大图
|
||||
CvSize dst_cvsize; //目标图像的大小
|
||||
float scale = 1;
|
||||
if (width<840){
|
||||
scale = (float)840 / width;
|
||||
dst_cvsize.width = 840;
|
||||
dst_cvsize.height = (int)(height*scale);
|
||||
}
|
||||
else
|
||||
{
|
||||
dst_cvsize.width = width;
|
||||
dst_cvsize.height = height;
|
||||
}
|
||||
|
||||
imgbig = cvCreateImage(dst_cvsize, img->depth, img->nChannels);
|
||||
cvResize(img, imgbig, CV_INTER_LINEAR); // CV_INTER_NN - 最近邻插值,
|
||||
//CV_INTER_LINEAR - 双线性插值 (缺省使用),
|
||||
//CV_INTER_AREA - 使用象素关系重采样。当图像缩小时候，该方法可以避免波纹出现。
|
||||
//CV_INTER_CUBIC - 立方插值.
|
||||
|
||||
/*二值化*/
|
||||
binary(imgbig, g_bi_threshold);
|
||||
//SaveLog("singlefeature_binary\n", "D:\\HWCV\\numtxt.txt", "a");
|
||||
|
||||
|
||||
|
||||
/*裁剪识别*/
|
||||
int jbwhite = 5, jbblack = 4;
|
||||
imgjbsb = cvCreateImage(cvGetSize(imgbig), imgbig->depth, imgbig->nChannels);
|
||||
imgbj = Cjbsb(imgbig, imgjbsb, jbwhite, jbblack); //返回文字的笔迹部分
|
||||
|
||||
|
||||
/*计算骨架图*/
|
||||
imggj = cvCreateImage(cvGetSize(imgbj), imgbj->depth, imgbj->nChannels); //复制
|
||||
cvCopy(imgbj, imggj, NULL);
|
||||
uchar *gjdata = (uchar *)imggj->imageData;
|
||||
|
||||
beforethin(gjdata, gjdata, imggj->width, imggj->height);
|
||||
|
||||
/*笔迹图像颜色范围转换，以进行细化*/
|
||||
for (j = 0; j<imggj->height; j++)//取值范围转到0--1
|
||||
{
|
||||
for (i = 0; i<imggj->width; i++)
|
||||
{
|
||||
if (gjdata[j*imggj->widthStep + i] == 255)
|
||||
gjdata[j*imggj->widthStep + i] = 1;
|
||||
}
|
||||
}
|
||||
|
||||
/*细化*/
|
||||
ThinnerRosenfeld(imggj->imageData, imggj->height, imggj->width);
|
||||
SaveLog("singlefeature_xihua\n", "D:\\HWCV\\numtxt.txt", "a");
|
||||
|
||||
/*笔记图像颜色范围转化回正常水平*/
|
||||
for (j = 0; j<imggj->height; j++)//取值范围转到0--255,反转过来
|
||||
{
|
||||
for (i = 0; i<imggj->width; i++)
|
||||
{
|
||||
if (gjdata[j*imggj->widthStep + i] == 1)
|
||||
gjdata[j*imggj->widthStep + i] = 0;
|
||||
else
|
||||
gjdata[j*imggj->widthStep + i] = 255;
|
||||
}
|
||||
}
|
||||
|
||||
/*计算骨架特征徝*/
|
||||
outlinefeature(imggj, feature); //特征值占48*48的右上三角形，feature调用返回
|
||||
|
||||
/*释放内存*/
|
||||
cvReleaseImage(&imgbig);
|
||||
cvReleaseImage(&img);
|
||||
cvReleaseImage(&imgbj);
|
||||
cvReleaseImage(&imglk);
|
||||
cvReleaseImage(&imgjbsb);
|
||||
cvReleaseImage(&imgbjhf);
|
||||
cvReleaseImage(&imgwzbj);
|
||||
cvDestroyAllWindows();
|
||||
|
||||
return imggj;
|
||||
}
|
||||
|
||||
|
||||
|
||||
/*
|
||||
功能：细化之前的图像颜色处理，将颜色范围转换到0-1
|
||||
|
||||
@变量 ip 图像的句柄
|
||||
@变量 jp
|
||||
@变量 lx 图象宽度
|
||||
@变量 ly 图象高度
|
||||
@返回值 空
|
||||
*/
|
||||
void beforethin(unsigned char *ip, unsigned char *jp, unsigned long lx, unsigned long ly)
|
||||
{
|
||||
unsigned long i, j;
|
||||
|
||||
for (i = 0; i<ly; i++){
|
||||
for (j = 0; j<lx; j++){
|
||||
//这里要视前景是白点还是黑点而定，可以改动
|
||||
//如果前景是白点，就是这样；反之反过来
|
||||
//jp[i*lx+j]=ip[i*lx+j];
|
||||
/* jp[i*lx+j]=255;*/
|
||||
if (ip[i*lx + j]>0)
|
||||
jp[i*lx + j] = 0;
|
||||
else
|
||||
jp[i*lx + j] = 255;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
/*功能：细化算法 ，Rosenfeld细化算法，用于完成对笔迹图像的股价提取
|
||||
|
||||
@变量 image 代表图象的一维数组
|
||||
@变量 lx 图象宽度
|
||||
@变量 ly 图象高度
|
||||
@返回值 无返回值
|
||||
*/
|
||||
void ThinnerRosenfeld(void *image, unsigned long lx, unsigned long ly)
|
||||
{
|
||||
char *f, *g;
|
||||
char n[10];
|
||||
char a[5] = { 0, -1, 1, 0, 0 };
|
||||
char b[5] = { 0, 0, 0, 1, -1 };
|
||||
char nrnd, cond, n48, n26, n24, n46, n68, n82, n123, n345, n567, n781;
|
||||
short k, shori;
|
||||
unsigned long i, j;
|
||||
long ii, jj, kk, kk1, kk2, kk3, size;
|
||||
|
||||
// printf("--Thinner_Rosenfeld--");
|
||||
size = (long)lx * (long)ly;
|
||||
|
||||
g = (char *)malloc(size);
|
||||
if (g == NULL){
|
||||
printf("error in alocating mmeory!\n");
|
||||
return;
|
||||
}
|
||||
|
||||
f = (char *)image;
|
||||
for (kk = 0l; kk<size; kk++){
|
||||
g[kk] = f[kk];
|
||||
}
|
||||
|
||||
do{
|
||||
shori = 0;
|
||||
for (k = 1; k <= 4; k++){
|
||||
for (i = 1; i<lx - 1; i++){
|
||||
ii = i + a[k];
|
||||
|
||||
for (j = 1; j<ly - 1; j++){
|
||||
kk = i*ly + j;
|
||||
|
||||
if (!f[kk])
|
||||
continue;
|
||||
|
||||
jj = j + b[k];
|
||||
kk1 = ii*ly + jj;
|
||||
|
||||
if (f[kk1])
|
||||
continue;
|
||||
|
||||
kk1 = kk - ly - 1;
|
||||
kk2 = kk1 + 1;
|
||||
kk3 = kk2 + 1;
|
||||
n[3] = f[kk1];
|
||||
n[2] = f[kk2];
|
||||
n[1] = f[kk3];
|
||||
kk1 = kk - 1;
|
||||
kk3 = kk + 1;
|
||||
n[4] = f[kk1];
|
||||
n[8] = f[kk3];
|
||||
kk1 = kk + ly - 1;
|
||||
kk2 = kk1 + 1;
|
||||
kk3 = kk2 + 1;
|
||||
n[5] = f[kk1];
|
||||
n[6] = f[kk2];
|
||||
n[7] = f[kk3];
|
||||
|
||||
nrnd = n[1] + n[2] + n[3] + n[4]
|
||||
+ n[5] + n[6] + n[7] + n[8];
|
||||
if (nrnd <= 1)
|
||||
continue;
|
||||
|
||||
cond = 0;
|
||||
n48 = n[4] + n[8];
|
||||
n26 = n[2] + n[6];
|
||||
n24 = n[2] + n[4];
|
||||
n46 = n[4] + n[6];
|
||||
n68 = n[6] + n[8];
|
||||
n82 = n[8] + n[2];
|
||||
n123 = n[1] + n[2] + n[3];
|
||||
n345 = n[3] + n[4] + n[5];
|
||||
n567 = n[5] + n[6] + n[7];
|
||||
n781 = n[7] + n[8] + n[1];
|
||||
|
||||
if (n[2] == 1 && n48 == 0 && n567>0){
|
||||
if (!cond)
|
||||
continue;
|
||||
g[kk] = 0;
|
||||
shori = 1;
|
||||
continue;
|
||||
}
|
||||
if (n[6] == 1 && n48 == 0 && n123>0) {
|
||||
if (!cond)
|
||||
continue;
|
||||
g[kk] = 0;
|
||||
shori = 1;
|
||||
continue;
|
||||
}
|
||||
if (n[8] == 1 && n26 == 0 && n345>0){
|
||||
if (!cond)
|
||||
continue;
|
||||
g[kk] = 0;
|
||||
shori = 1;
|
||||
continue;
|
||||
}
|
||||
if (n[4] == 1 && n26 == 0 && n781>0) {
|
||||
if (!cond)
|
||||
continue;
|
||||
g[kk] = 0;
|
||||
shori = 1;
|
||||
continue;
|
||||
}
|
||||
if (n[5] == 1 && n46 == 0){
|
||||
if (!cond)
|
||||
continue;
|
||||
g[kk] = 0;
|
||||
shori = 1;
|
||||
continue;
|
||||
}
|
||||
if (n[7] == 1 && n68 == 0){
|
||||
if (!cond)
|
||||
continue;
|
||||
g[kk] = 0;
|
||||
shori = 1;
|
||||
continue;
|
||||
}
|
||||
if (n[1] == 1 && n82 == 0){
|
||||
if (!cond)
|
||||
continue;
|
||||
g[kk] = 0;
|
||||
shori = 1;
|
||||
continue;
|
||||
}
|
||||
if (n[3] == 1 && n24 == 0){
|
||||
if (!cond)
|
||||
continue;
|
||||
g[kk] = 0;
|
||||
shori = 1;
|
||||
continue;
|
||||
}
|
||||
cond = 1;
|
||||
if (!cond)
|
||||
continue;
|
||||
g[kk] = 0;
|
||||
shori = 1;
|
||||
}
|
||||
}
|
||||
|
||||
for (i = 0; i<lx; i++){
|
||||
for (j = 0; j<ly; j++){
|
||||
kk = i*ly + j;
|
||||
f[kk] = g[kk];
|
||||
}
|
||||
}
|
||||
}
|
||||
} while (shori);
|
||||
free(g);
|
||||
}
|
||||
97
测试/服务器测试/输出文件/输出待检测检测文件try catch/process.h
Normal file
97
测试/服务器测试/输出文件/输出待检测检测文件try catch/process.h
Normal file
@@ -0,0 +1,97 @@
|
||||
/*
|
||||
头文件：process.h 图像处理函数头文件
|
||||
*/
|
||||
#pragma once
|
||||
#include "Point.h"
|
||||
#include "path.h"
|
||||
#include "process.h"
|
||||
#include <cv.h>
|
||||
#include <direct.h>
|
||||
#include <io.h>
|
||||
#include <iostream>
|
||||
#include <math.h>
|
||||
#include <malloc.h>
|
||||
#include <highgui.h>
|
||||
#include <stdlib.h>
|
||||
#include <stdio.h>
|
||||
#include <stdlib.h>
|
||||
#include <string.h>
|
||||
#include <vector>
|
||||
|
||||
using namespace std;
|
||||
|
||||
/*全局变量*/
|
||||
extern IplImage* src;
|
||||
|
||||
/***************************************函数原型****************************************/
|
||||
|
||||
/*
|
||||
功能：读入图像文件，进行二值化
|
||||
|
||||
@变量 img iplimage图像文件
|
||||
@变量 bithro 二值化阈值
|
||||
@返回值 黑像素的数目（待用）
|
||||
*/
|
||||
int* binary(IplImage* img, int bithro);
|
||||
|
||||
|
||||
/*
|
||||
功能：读入图像文件，对图像进行裁剪
|
||||
|
||||
@变量 img iplimage图像文件
|
||||
@变量 img 裁剪后的iplimage图像文件
|
||||
@jbwhite
|
||||
@jbblack
|
||||
@返回值 返回裁剪后的图像
|
||||
*/
|
||||
IplImage* Cjbsb(IplImage* img, IplImage* imgjbsb, int jbwhite, int jbblack);
|
||||
|
||||
|
||||
/*
|
||||
功能：计算图像的特征
|
||||
|
||||
@变量 imgbj 笔迹部分的图像
|
||||
@返回值 计算得到的特征图像
|
||||
*/
|
||||
IplImage* outline(IplImage* imgbj);
|
||||
|
||||
|
||||
/*
|
||||
功能：输入图像的特征轮廓图，返回图像的特征值
|
||||
@变量 imglk 输入的图像轮廓图
|
||||
@变量 feature 得到的图像特征
|
||||
@返回值 成功1失败0
|
||||
*/
|
||||
int outlinefeature(IplImage* imglk, int feature[][50]);
|
||||
|
||||
|
||||
/*
|
||||
功能：对单张图像的处理，最终得到一个特征值，用来计算各个图像之间的卡方距离
|
||||
|
||||
@变量 path 图像的物理地址
|
||||
@变量 feature 图像的特征值
|
||||
@返回值 处理后的图像
|
||||
*/
|
||||
IplImage* singlefeature(char* path, int feature[][50]);
|
||||
|
||||
|
||||
/*
|
||||
功能：细化之前的图像颜色处理，将颜色范围转换到0-1
|
||||
|
||||
@变量 ip 图像的句柄
|
||||
@变量 jp
|
||||
@变量 lx 图象宽度
|
||||
@变量 ly 图象高度
|
||||
@返回值 空
|
||||
*/
|
||||
void beforethin(unsigned char *ip, unsigned char *jp, unsigned long lx, unsigned long ly);
|
||||
|
||||
|
||||
/*功能：细化算法 ，Rosenfeld细化算法，用于完成对笔迹图像的股价提取
|
||||
|
||||
@变量 image 代表图象的一维数组
|
||||
@变量 lx 图象宽度
|
||||
@变量 ly 图象高度
|
||||
@返回值 无返回值
|
||||
*/
|
||||
void ThinnerRosenfeld(void *image, unsigned long lx, unsigned long ly);
|
||||
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/proxytrans.ax
Normal file
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/proxytrans.ax
Normal file
Binary file not shown.
3
测试/服务器测试/输出文件/输出待检测检测文件try catch/registerall.bat
Normal file
3
测试/服务器测试/输出文件/输出待检测检测文件try catch/registerall.bat
Normal file
@@ -0,0 +1,3 @@
|
||||
regsvr32 /S %1 calibfilter.ax
|
||||
regsvr32 /S %1 proxytrans.ax
|
||||
regsvr32 /S %1 syncfilter.ax
|
||||
46
测试/服务器测试/输出文件/输出待检测检测文件try catch/segmentation.cpp
Normal file
46
测试/服务器测试/输出文件/输出待检测检测文件try catch/segmentation.cpp
Normal file
@@ -0,0 +1,46 @@
|
||||
/*
|
||||
主函数文件：segmentation.cpp 主函数的实现文件
|
||||
*/
|
||||
#include "segmentation.h"
|
||||
|
||||
/*主函数*/
|
||||
int main(int argc,char* argv[])
|
||||
{
|
||||
FILE *file = NULL;
|
||||
string checkpath="D:/HWCV/Check/";
|
||||
|
||||
//读取配置文件，并配置各项参数
|
||||
ReadConfig("D:/HWCV/config/configure.cfg");
|
||||
cout<<"ReadConfig success"<<endl;
|
||||
|
||||
//初始化log文件
|
||||
memset(g_log_rec, 0, sizeof(g_log_rec));
|
||||
strcat(g_log_rec, "\n");
|
||||
strcat(g_log_rec, GetTime());
|
||||
strcat(g_log_rec, " 配置文件读取完毕 ");
|
||||
|
||||
vector<string> stuNum;
|
||||
|
||||
while(true)
|
||||
{
|
||||
//查询数据库
|
||||
stuNum.clear();
|
||||
DbStu(stuNum);
|
||||
for(int i=0;i<stuNum.size();i++)
|
||||
{
|
||||
//首先合成地址
|
||||
string temp = checkpath;
|
||||
temp +=stuNum[i];
|
||||
file = fopen((char*)temp.c_str(),"w");
|
||||
fclose(file);
|
||||
SaveLog(".", g_log_adr, "a");
|
||||
}
|
||||
|
||||
Sleep(SLEEP_TIME);
|
||||
|
||||
}
|
||||
/*返回值*/
|
||||
return 0;
|
||||
}
|
||||
|
||||
|
||||
50
测试/服务器测试/输出文件/输出待检测检测文件try catch/segmentation.h
Normal file
50
测试/服务器测试/输出文件/输出待检测检测文件try catch/segmentation.h
Normal file
@@ -0,0 +1,50 @@
|
||||
/*
|
||||
头文件：segmentation.h 主函数头文件
|
||||
*/
|
||||
#pragma once
|
||||
#ifdef WIN32 //屏蔽VC6对STL的一些不完全支持造成
|
||||
#pragma warning (disable: 4514 4786)
|
||||
#endif
|
||||
#include "StdAfx.h"
|
||||
#include "DBop.h"
|
||||
#include "path.h"
|
||||
|
||||
using namespace std;
|
||||
|
||||
#define SLEEP_TIME 1000
|
||||
|
||||
/*定义全局变量*/
|
||||
|
||||
string g_dir = "Y:/"; /* 全局变量 总路径的目录*/
|
||||
|
||||
string g_db_hostName = "192.168.200.97"; /*全局变量 服务器ip或名称*/
|
||||
string g_db_dBName = "purple"; /*全局变量 服务器ODBC数据源*/
|
||||
string g_db_userName = "BJSH"; /*全局变量 服务器用户名*/
|
||||
string g_db_password = "bjshadmin"; /*全局变量 服务器密码*/
|
||||
//string g_db_hostName = "localhost"; /*全局变量 服务器ip或名称*/
|
||||
//string g_db_dBName = "orcl123"; /*全局变量 服务器ODBC数据源*/
|
||||
//string g_db_userName = "yannsy"; /*全局变量 服务器用户名*/
|
||||
//string g_db_password = "123456"; /*全局变量 服务器密码*/
|
||||
|
||||
string g_db_qurry_start = "200906"; /*全局变量 数据库查询_开始日期*/
|
||||
string g_db_qurry_end = "201610"; /*全局变量 数据库查询_结束日期*/
|
||||
string g_db_qurry_zone = "0"; /*全局变量 数据库查询_特定区域*/
|
||||
string g_db_qurry_stu_num = "0"; /*全局变量 数据库查询_特定考号*/
|
||||
bool g_db_qurry_all = true; /*全局变量 数据库查询_查询全部标记*/
|
||||
string g_db_hoster_zk = "ZK"; /*全局变量 数据库用户，zk（考试院的zk，本地的yannsy）*/
|
||||
|
||||
|
||||
bool g_output_cmd_config = false; /*全局变量 输出参数控制*/
|
||||
bool g_output_txt_config = false; /*全局变量 输出中间文件选项*/
|
||||
char g_log_adr[50] = "D:/HWCV/log_ori.txt"; /*全局变量 程序日志存储地址*/
|
||||
char g_log_rec[500] = { 0 }; /*全局变量 程序日志专用变量*/
|
||||
char g_err_adr[50]= "D:/HWCV/err_ori.txt"; /*错误日志路径*/
|
||||
/*全局变量 输出txt结果文件*/
|
||||
/*全局变量 输出txt结果文件地址*/
|
||||
|
||||
|
||||
|
||||
time_t ltime;
|
||||
char *srcTime=NULL;
|
||||
char timeNow[22]={0};
|
||||
char msg[100]={0};
|
||||
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/syncfilter.ax
Normal file
BIN
测试/服务器测试/输出文件/输出待检测检测文件try catch/syncfilter.ax
Normal file
Binary file not shown.
Reference in New Issue
Block a user