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
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yanshui177
243
测试/服务器测试/鉴定主程序/HWCV-exe/segmentation.cpp
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243
测试/服务器测试/鉴定主程序/HWCV-exe/segmentation.cpp
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/*
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主函数文件：segmentation.cpp 主函数的实现文件
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*/
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#include "segmentation.h"
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//#pragma comment( linker, "/subsystem:windows /entry:mainCRTStartup" )//没有界面运行
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int ComputeImage(vector<string> files, vector<int> flag_exist, double bzckesa[50][50], double *wcd, int conti)
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{
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cout << "ComputeImage" << endl;
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int i, ii, jj, size;
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double bzcu[50][50] = { 0 }; //标准差中的u
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double featurep[50][50][30] = { 0 }; //所有图像的轮廓方向特征初始化//干什么 //30
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int feature[50][50][30] = { 0 }; //所有图像的特征值
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int featx[50][50] = { 0 }; //循环赋值的feature
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int featureall; //图像特征值和 //做什么用
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size = flag_exist.size();
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for (i = 0; i < size; i++)
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{
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memset(featx, 0, sizeof(featx));
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cout << "singlefeature:" << (char*)files[flag_exist[i]].c_str() << endl;
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//检查文件存在与否
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singlefeature((char*)files[flag_exist[i]].c_str(), featx); //featx[][50]
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featureall = 0; //图像特征值和的初始化
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for (ii = 0; ii < 48; ii++) //将featx存起来,回头看能不能用函数换掉
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for (jj = ii + 1; jj < 47; jj++)
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{
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feature[ii][jj][i] = featx[ii][jj];
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featureall = featureall + featx[ii][jj];
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}
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//求轮廓方向特征featurep，式(5) 与标准差中的u的和
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for (ii = 0; ii < 48; ii++)
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for (jj = ii + 1; jj < 47; jj++)
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{
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featurep[ii][jj][i] = (double)featx[ii][jj] / featureall;
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bzcu[ii][jj] += (double)featx[ii][jj] / featureall * 1000; //标准差的值过小,进行放大（1）
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}
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}
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//处理完一个人的每一张图片后
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for (ii = 0; ii < 48; ii++)//求标准差中的u
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for (jj = ii + 1; jj < 47; jj++)
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bzcu[ii][jj] = bzcu[ii][jj] / size;
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//求相似性就是带权卡方wcd
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for (i = 0; i < size; i++)
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for (ii = 0; ii < 48; ii++)
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for (jj = ii + 1; jj < 47; jj++)
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if (featurep[ii][jj][i] * featurep[ii][jj][conti] != 0 && bzckesa[ii][jj] != -1)
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wcd[i] += pow((featurep[ii][jj][i] - featurep[ii][jj][conti]), 2) / ((featurep[ii][jj][i] + featurep[ii][jj][conti])*bzckesa[ii][jj]);
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memset(feature, 0, sizeof(feature));
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memset(featurep, 0, sizeof(featurep));
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return 1;
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}
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/*主函数*/
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int main(int argc,char* argv[])
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{
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if(argc<2) return -1;
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//for(int iii=0;iii<argc;iii++)
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// cout<<"argv"<<iii<<" "<<argv[iii]<<endl;
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char *fpname1 = argv[1];
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// cout<<"开始鉴定"<<fpname1<<endl;
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//char *fpname1 = "010209400748";
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/*变量定义*/
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int i, ii, jj;
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double bzckesa[50][50] = { 0 };
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double wcd[30] = { 0 };
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int featdif[30] = { 0 };
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float maxx = 0; //最大特征值的标号与值
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int xyimgnum = 0; //嫌疑图片的数目
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char str[80]; //存储地址
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vector<string> suspict; //记录嫌疑图片地址
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vector<float> suspict_wcd; //嫌疑图片的wcd值
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vector<string> files; //存储该生所有考试文件路径
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vector<string> dateVec, subjectVec, stuNum2;
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vector<string> flagVec;//记录查到的学生的所有考试信息
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//读取配置文件，并配置各项参数
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memset(g_log_rec, 0, sizeof(g_log_rec));
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strcat(g_log_rec, GetTime());
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if (!ReadConfig("D:/HWCV/config/configure.cfg"))
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{
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strcat(g_log_rec, ",config failed！\n");
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SaveLog(g_log_rec, g_log_adr, "a");
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return 0;
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}
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cout<<"ReadConfig success"<<endl;
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//初始化log文件
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strcat(g_log_rec, ",");
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strcat(g_log_rec, fpname1);//考号
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strcat(g_log_rec, ",");
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/*
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string temp=g_db_hostName;
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temp+=g_db_dBName;temp+=g_db_userName;temp+=g_db_password;
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SaveLog((char*)temp.c_str(), g_log_adr, "a");
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*/
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/*步骤：读取标准差文件*/
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int bzccolumns = 47;//txt文件中有47列
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vector<double *> output_bzc;
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if (!ReadScanf("D:\\HWCV\\config\\stdfile.db", bzccolumns, output_bzc)) return 0;
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for (ii = 0; ii < 48; ii++)//output_vector可视为二维数组;输出数组元素：
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for (jj = ii + 1; jj < 47; jj++)
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bzckesa[ii][jj] = output_bzc[ii][jj];
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//查询数据库
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string stuNum = fpname1;
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cout << "查询数据库" << endl;
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DbImg(stuNum, dateVec, subjectVec, stuNum2);
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//生成路径();
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cout << "生成路径-dateVec的个数：" << dateVec.size() << endl;
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vector<int> flag_exist;
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fstream _file;
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for (int cp_i = 0; cp_i < dateVec.size(); cp_i++)
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{
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string path_t = CrPath(dateVec[cp_i], subjectVec[cp_i], stuNum2[cp_i]);
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cout << path_t << endl;
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SaveLog((char*)path_t.c_str(), "D:/HWCV/1.txt", "a");
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SaveLog("\n", "D:/HWCV/1.txt", "a");
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files.push_back(path_t);
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_file.open(path_t.c_str(), ios::in);
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if (_file)
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{
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//SaveLog("OK", "D:/HWCV/1.txt", "a");
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flag_exist.push_back(cp_i);
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}
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}
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int size = flag_exist.size();
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cout << "最终size个数：" << size << endl;
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if (size == 0)
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{
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system("pause");
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return 0; //没找到人，直接返回
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}
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//开始对每一张图片进行处理
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cout << "对每一张图片进行处理" << endl;
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for (int r = 0; r < size; r++)
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{
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memset(wcd, 0, sizeof(wcd));
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ComputeImage(files, flag_exist, bzckesa, wcd, r);
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xyimgnum = 0;
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int flagc = 0;
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//疑似作弊
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for (i = 0; i < files.size(); i++)
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{
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if (i == flag_exist[flagc])
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{
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flagc++;
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if (wcd[i]>0.12)
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{
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flagVec.push_back("1");//嫌疑标记1
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xyimgnum++;
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suspict.push_back(files[i].c_str());
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suspict_wcd.push_back(wcd[i]);
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}
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else
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{
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flagVec.push_back("0");//嫌疑标记1
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}
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}
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else
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{
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flagVec.push_back("0");//嫌疑标记1
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continue;
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}
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}
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// 验证作弊数量
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if (xyimgnum < 3)
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{
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break;
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}
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flagVec.clear();
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}
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// 结果更新数据库
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cout << "更新数据库" << endl;
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DbUpdate(stuNum, dateVec, subjectVec, stuNum2, flagVec);
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// 将结果存入log文件
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char pic_num[20];
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_itoa(size, pic_num, 10);
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strcat(g_log_rec, pic_num);
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if (xyimgnum > 0)
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{
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g_stu_sus++;
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//输出嫌疑图片数量到csv
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char b[20];
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sprintf(b, ",%d", xyimgnum);
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strcat(g_log_rec, b);
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strcat(g_log_rec, "\n");
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//逐个输出嫌疑图像
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for (i = 0; i < xyimgnum; i++)
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{
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strcat(g_log_rec, ",,,");
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strcat(g_log_rec, suspict[i].c_str());
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strcat(g_log_rec, ",");
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float sim=(1.0-suspict_wcd[i])*100;
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char a[20];
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sprintf(a, "%g", sim);
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strcat(g_log_rec, a);
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strcat(g_log_rec, "%%\n");
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}
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}
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else strcat(g_log_rec, "\n");
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//strcat(g_log_rec, "\n");
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SaveLog(g_log_rec, g_log_adr, "a");
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cout << "结果存入log文件：" << g_log_adr <<" 完毕"<< endl;
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/*善后*/
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suspict.clear();
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suspict_wcd.clear();
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output_bzc.clear();
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memset(g_log_rec, 0, sizeof(g_log_rec));
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memset(bzckesa, 0, sizeof(bzckesa));
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memset(wcd, 0, sizeof(wcd));
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memset(featdif, 0, sizeof(featdif));
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files.clear();
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dateVec.clear();
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subjectVec.clear();
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stuNum2.clear();
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flagVec.clear();
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system("pause");
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/*返回值*/
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return 0;
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}
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