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
2017-05-17 16:50:37 +08:00
parent abe00d2e02
commit 962de04ffb
205 changed files with 17672 additions and 0 deletions
--- a/测试/本机测试/HWCV_vc6/segmentation.cpp
+++ b/测试/本机测试/HWCV_vc6/segmentation.cpp
@@ -0,0 +1,146 @@
+/*
+主函数文件：segmentation.cpp 主函数的实现文件
+*/
+#include "segmentation.h"
+//#pragma comment( linker, "/subsystem:windows /entry:mainCRTStartup" )//无界面运行
+/*主函数*/
+
+
+int main(int argc, char* argv[])
+{
+	/*变量定义*/
+	string dir = "E:/xiangmu/Img/imgjiaobiao/010211100518"; //存储目录
+	//string dir;
+	//if (argc < 2)
+	//	return -1;
+	//else
+	//	dir = argv[1];
+	cout << (char*)dir.c_str() << endl;
+	char	record[2400] = { 0 };
+	FILE*	fpzz = NULL;//需要注意
+	int		i, ii, jj, feature[50][50][30] = { 0 }, featureall = 0;
+	double	featurep[50][50][30] = { 0 };
+	double  bzcu[50][50] = { 0 };
+	double  bzckesa[50][50] = { 0 };
+	double  wcd[30] = { 0 };
+
+	int		featx[50][50] = { 0 };
+	int		featdif[30] = { 0 };
+	float	maxx = 0;			//最大特征值的标号与值
+	int		xyimgnum = 0;				//嫌疑图片的数目
+
+	vector<string> suspict;		//记录嫌疑图片地址
+	vector<float> suspict_wcd;	//嫌疑图片的wcd值
+	vector<string> files;		//存储该生所有考试文件路径
+	/*读取配置文件，并配置各项参数*/
+	if (!ReadConfig("D:/HWCV/config/configure.cfg"))
+	{
+//		SaveLog("\t配置文件读取失败\n", g_log_adr, "a");
+		SaveLog("\n0\n", g_log_adr, "a");
+		return 0;
+	}
+	char path[100] = "E:/xiangmu/Img/imgjiaobiao/";
+
+
+
+	/*步骤：读取标准差文件*/
+	int bzccolumns = 47;//txt文件中有47列
+	vector<double *> output_bzc;
+	if (!ReadScanf("D:\\HWCV\\config\\stdfile.db", bzccolumns, output_bzc))
+	{
+		memset(g_log_rec, 0, sizeof(g_log_rec));
+
+//		SaveLog("\n读取路径：D:\\HWCV\\config\\stdfile.db 的标准差文件失败！\n", g_log_adr, "a");
+		SaveLog("\n0\n", g_log_adr, "a");
+		return 0;
+	}
+//	cout<<"标准差："<<endl;
+	for (ii = 0; ii < 48; ii++)//output_vector可视为二维数组;输出数组元素：
+		for (jj = ii + 1; jj < 47; jj++)
+		{
+			bzckesa[ii][jj] = output_bzc[ii][jj];
+//			cout<<	bzckesa[ii][jj];
+		}
+//		cout<<endl;
+
+	//开始检测
+	//-------------------------------------------------------------//
+	getFiles(dir.c_str(), files);	//遍历当前文件夹下的所有文件
+	int size = files.size();
+	cout << "考生文件数量" <<size<< endl;
+
+	//开始对每一张图片进行处理
+	for (int r = 0; r<size; r++)
+	{
+		memset(wcd, 0, sizeof(wcd));
+		cout<<"-对每一张图片进行处理-："<<files[r].c_str()<<endl;
+		ComputeImage(files, bzckesa, wcd, r);
+		xyimgnum = 0;
+		//求卡方距离的最大值 
+		for (i = 0; i < size; i++)
+		{
+			cout << files[i].c_str()<< "  " << wcd[i] << endl;
+			if (wcd[i]>0.12)
+			{
+				xyimgnum++;
+				suspict.push_back(files[i].c_str());
+				suspict_wcd.push_back(wcd[i]);
+			}
+		}
+		if (xyimgnum<3) break;
+	}
+
+	/*将结果存入log文件*/
+	strcat(g_log_rec, "\n");
+	memset(g_log_rec, 0, sizeof(g_log_rec));
+//	strcat(g_log_rec, GetTime());
+//	strcat(g_log_rec, "\t考生考号：");
+	strcat(g_log_rec, dir.substr(27, 22).c_str());
+	strcat(g_log_rec, "\t");//图片总数为：
+	char pic_num[20];
+	_itoa(size, pic_num, 10);
+	strcat(g_log_rec, pic_num);
+	if (xyimgnum > 0)
+	{
+		char b[20];
+		sprintf(b, "\t%d", xyimgnum);
+		strcat(g_log_rec, b);
+		strcat(g_log_rec, "\n");
+		for (i = 0; i < xyimgnum; i++)
+		{
+			cout << "嫌疑图像：" << files[i].c_str() << endl;
+			strcat(g_log_rec, "\t\t\t");//\t嫌疑图像：
+			strcat(g_log_rec, suspict[i].c_str());
+			strcat(g_log_rec, "\t");//相似度：
+			float sim = (1.0 - suspict_wcd[i]) * 100;
+			char a[20];
+			sprintf(a, "%g", sim);
+			strcat(g_log_rec, a);
+			strcat(g_log_rec, "%%\n");
+		}
+	}
+	else
+	{
+//		strcat(g_log_rec, "\t该考生没有嫌疑图像！\n");
+		strcat(g_log_rec, "\t0\n");
+		cout << "该考生无嫌疑图像！" << endl;
+	}
+	SaveLog(g_log_rec, g_log_adr, "a");
+
+
+	/*善后*/
+	suspict.clear();
+	suspict_wcd.clear();
+	memset(g_log_rec, 0, sizeof(g_log_rec));
+	memset(feature, 0, sizeof(feature));
+	memset(featurep, 0, sizeof(featurep));
+	memset(bzckesa, 0, sizeof(bzckesa));
+	memset(wcd, 0, sizeof(wcd));
+	memset(featdif, 0, sizeof(featdif));
+	files.clear();
+	memset(g_log_rec, 0, sizeof(g_log_rec));
+
+	/*返回值*/
+	system("pause");
+	return 0;
+}