WindowsAPI调用和OCR图片识别
WindowsAPI在每一台Windows系统上开放标准API供开发人员调用.
功能齐全.在这里只介绍三个部分.
1.利用API控制鼠标键盘.
2.对外部程序的读写和监听
3.对外部程序窗口的改动.
外部程序的意思就是.假设我的程序是360.辣么我能控制腾讯QQ客户端啥的.
const int MOUSEEVENTF_MOVE = 0x0001; // 移动鼠标 const int MOUSEEVENTF_LEFTDOWN = 0x0002; //模仿鼠标左键按下 const int MOUSEEVENTF_LEFTUP = 0x0004; //模仿鼠标左键抬起 const int MOUSEEVENTF_RIGHTDOWN = 0x0008; //模仿鼠标右键按下 const int MOUSEEVENTF_RIGHTUP = 0x0010; //模仿鼠标右键抬起 const int MOUSEEVENTF_MIDDLEDOWN = 0x0020;// 模仿鼠标中键按下 const int MOUSEEVENTF_MIDDLEUP = 0x0040;// 模仿鼠标中键抬起 const int MOUSEEVENTF_ABSOLUTE = 0x8000; //标示是否采取绝对坐标 private const int WM_SETTEXT = 0x000C; const int BM_CLICK = 0xF5;//鼠标点击事件 const int WM_GETTEXT = 0xd;//获取文本 const int WM_CLOSE = 0x0010;//关闭窗口
调用时程序会在Bin下寻找同名DLL.如果没有会在C:\Windows\System32中寻找同名DLL.
[return: MarshalAs(UnmanagedType.Bool)] [DllImport("user32.dll", CharSet = CharSet.Auto, ExactSpelling = true)] public static extern bool BlockInput([In, MarshalAs(UnmanagedType.Bool)] bool fBlockIt);
//BlockInput(true)锁定鼠标键盘.BlockInput(false)激活鼠标键盘.锁定时需要Thread.Sleep(500)才能生效
//如果在锁定鼠标键盘后死机..可以用CTRL + ALT +DELETE 激活鼠标键盘.听说用IO读出任务管理器可以使CTRL + ALT +DELETE 无效
[DllImport("user32")] public extern static void SetCursorPos(int x, int y);
//移动鼠标到指定坐标
[DllImport("user32")] public static extern void mouse_event(int dwFlags, int dx, int dy, int dwData, IntPtr dwExtraInfo);
//鼠标的点击事件
SetCursorPos(X, Y);//移动鼠标 mouse_event((int)(MOUSEEVENTF_LEFTDOWN | MOUSEEVENTF_ABSOLUTE), 0, 0, 0, IntPtr.Zero);//摁下 SetCursorPos(X, Y);//移动鼠标 mouse_event((int)(MOUSEEVENTF_LEFTUP | MOUSEEVENTF_ABSOLUTE), 0, 0, 0, IntPtr.Zero);//放开
//移动鼠标到指定位置然后拖拽到指定位置
SetCursorPos(X, Y);//移动鼠标 mouse_event((int)(MOUSEEVENTF_LEFTDOWN | MOUSEEVENTF_LEFTUP), 0, 0, 0, IntPtr.Zero);//摁下 mouse_event((int)(MOUSEEVENTF_LEFTDOWN | MOUSEEVENTF_LEFTUP), 0, 0, 0, IntPtr.Zero);//摁下
//移动鼠标到指定位置左键双击
c#提供封装的对象可以控制键盘
SendKeys.Send("1111高");//发送字符串 SendKeys.SendWait("{^c }");//发送键盘按键.组合键
API中有keybd_event函数.Win IO等也可以控制键盘.但是本人没有找到使用组合键的方法..
对剪切板的操作
IDataObject iData = Clipboard.GetDataObject(); var a = (String)iData.GetData(DataFormats.Text);
//读
Clipboard.SetDataObject("1高G");
//写
var g = Graphics.GetImage();
//读取剪切板里的图片
对外部程序的读写：
[DllImport("user32.dll")] public static extern int SendMessage(IntPtr Hwnd, int Msg, int wpala, string lpala); private const int WM_SETTEXT = 0x000C;//定义写的宏 private const int WM_GETTEXT = 0xd;//定义读的宏 public static int WM_CLICK = 0x00F5;//定义点击的宏 public const int BM_CLICK = 0xF5;//鼠标点击事件
//可以对外部程序的控件做读写.按钮点击.窗口关闭等
SendMessage(new IntPtr(“句柄”), WM_SETTEXT, 0,“数据”);
//写
StringBuilder code = new StringBuilder(1024); SendMessage(new IntPtr(“句柄”), WM_GETTEXT, 1024, code);
//读
SendMessage(“句柄”,WM_CLOSE,0,null);
//关闭窗口
SendMessage(new IntPtr(“句柄”), BM_CLICK, 0, 0);
//按钮的点击
在Windows系统下。每生成一个控件或者窗口都会出现一个句柄.是本对象的唯一标识符.可以通过坐标抓取.也可以用SPY++和INSPECT捕获句柄.稍后讲
下面是监听外部程序按钮点击的源码.是我哭着闹着求着微软的大牛给我写的一个案例.不要问我是怎么写的.我只会抄.如果有兴趣可以自行搜索全局钩子.HOOK.以下案例是微软的大牛用MSAA技术做的钩子
const uint WINEVENT_INCONTEXT = 0x0004; const uint EVENT_MIN = 0x00000001; const uint EVENT_MAX = 0x7FFFFFFF; const uint EVENT_OBJECT_INVOKED = 0x8013; const uint EVENT_OBJECT_STATECHANGE = 0x800A; const uint ROLE_SYSTEM_PUSHBUTTON = 43; const uint ROLE_SYSTEM_WINDOW = 10; const int STATE_SYSTE_PRESSED = 0X00000008; const int STATE_SYSTE_FOCUSED = 0X00000004;
[DllImport("user32.dll")] static extern IntPtr SetWinEventHook( uint eventMin, uint eventMax, IntPtr hmodWinEventProc, WinEventDelegate lpfnWinEventProc, uint idProcess, uint idThread, uint dwFlags); delegate void WinEventDelegate( IntPtr hWinEventHook, uint eventType, IntPtr hwnd, int idObject, int idChild, uint dwEventThread, uint dwmsEventTime); [DllImport("Oleacc.dll")] static extern uint AccessibleObjectFromEvent(IntPtr hwnd, int dwObjectID, int dwChildID, out IAccessible ppacc, [MarshalAs(UnmanagedType.Struct)] out object pvarChild); private void WinEventCallback( IntPtr hWinEventHook, uint eventType, IntPtr hwnd, int idObject, int idChild, uint dwEventThread, uint dwmsEventTime) { if (eventType == EVENT_OBJECT_STATECHANGE) { IAccessible accObj = null; object o = null; AccessibleObjectFromEvent(hwnd, idObject, idChild, out accObj, out o); int state; if (accObj != null && accObj.accRole.ToString().Equals(ROLE_SYSTEM_PUSHBUTTON.ToString()) && accObj.accName == txtButtonName.Text.Trim() && int.TryParse(accObj.accState.ToString(), out state)) { if ((state & STATE_SYSTE_PRESSED) == STATE_SYSTE_PRESSED && FindParentWindow(accObj, txtFormName.Text.Trim())) { txtOutput.AppendText(string.Format("{0}: {1} clicked.\r\n", DateTime.Now.ToShortTimeString(), accObj.accName)); } } } } bool FindParent(IAccessible acc, string parentName) { if (acc == null) { return false; } int maxRetry = 5; int count = 0; IAccessible cur = acc.accParent as IAccessible; while (cur != null && count < maxRetry) { if (parentName.Equals(cur.accName.ToString())&& cur.accRole.ToString().Equals(ROLE_SYSTEM_WINDOW.ToString())) { return true; } cur = cur.accParent as IAccessible; count++; } return false; } bool FindParentWindow(IAccessible acc, string parentName) { if (acc == null) { return false; } int count = 0; IAccessible cur = acc.accParent as IAccessible; while (cur != null) { if (cur.accRole.ToString().Equals(ROLE_SYSTEM_WINDOW.ToString())) { if (parentName.Equals(cur.accName.ToString())) { return true; } else { return false; } } cur = cur.accParent as IAccessible; count++; } return false; }
以上都是C底层的设计.啥都不能改.有性趣可以自行搜索IAccessible
private void button1_Click(object sender, EventArgs e) { //先获取Process string targetProcessName = txtProcessName.Text.Trim(); if (!string.IsNullOrEmpty(targetProcessName)) { Process targetProcess = Process.GetProcessesByName(targetProcessName).First(); if (targetProcess != null) { //IAccessible acc = IntPtr result = SetWinEventHook(EVENT_MIN, EVENT_MAX, IntPtr.Zero, new WinEventDelegate(WinEventCallback), (uint)targetProcess.Id, 0, 0); Console.WriteLine(result); } } }
这些是我唯一看懂的源码.targetProcessName是挂钩的进程名称.targetProcessName是挂钩的程序按钮.
如果调用这个方法.就可以监听外部程序的按钮.如果目标点击.就会触发我们的事件.txtOutput文本会记录事件.
以下讲窗口的改动和句柄的捕获.
[DllImport("user32.dll", EntryPoint = "FindWindow", SetLastError = true)] private static extern IntPtr FindWindow(string lpClassName, string lpWindowName);
//第一个参数填NULL,第二个参数填窗口标题可以捕获该窗口的句柄
[DllImport("user32.dll")] private static extern int GetWindowRect(IntPtr hwnd, out Rect lpRect);
public struct Rect { public int Left; public int Top; public int Right; public int Bottom; }
//第一个参数窗口句柄.声明Rect传进去就会返回窗口的Rect
[DllImport("user32.dll", EntryPoint = "WindowFromPoint")] public static extern int WindowFromPoint( int xPoint, int yPoint );
//传递XY就会返回坐标处的句柄
对于窗口的改动用API很蛋疼.步骤是先正常化窗口.然后设置活动窗口.最后置顶.由于是用代码置顶.所以最后还要手动取消置顶
[DllImport("user32.dll", EntryPoint = "ShowWindow", CharSet = CharSet.Auto)] public static extern int ShowWindow(IntPtr hwnd, int nCmdShow);
//第一个填窗口句柄.后面填函数识别的整数
// //最大化3 最小化2 正常化1
[DllImport("user32.dll", EntryPoint = "SetForegroundWindow", SetLastError = true)] private static extern void SetForegroundWindow(IntPtr hwnd);
//第一个填窗口句柄.
//设置活动窗口是必须的.不要问我为什么.
[DllImport("user32.dll", CharSet = CharSet.Auto)] private static extern int SetWindowPos(IntPtr hWnd, int hWndInsertAfter, int x, int y, int Width, int Height, int flags); SetWindowPos(“句柄”, -1, 0, 0, 0, 0, 1 | 2); SetWindowPos(“句柄”, -2, 0, 0, 0, 0, 1 | 2);
//-1置顶.-2取消置顶
以上就是API.多了也懒得讲
public Bitmap GetScreenSnapshot(int x, int y, int wid, int hei)//截图 { Rectangle rectangle = new Rectangle(x, y, wid, hei); Bitmap bitmap = new Bitmap(rectangle.Width, rectangle.Height, PixelFormat.Format32bppArgb); using (Graphics graphics = Graphics.FromImage(bitmap)) { graphics.CopyFromScreen(rectangle.X, rectangle.Y, 0, 0, rectangle.Size, CopyPixelOperation.SourceCopy); } return bitmap; }
做图片识别先做截图.传递TOP.LEFT.WIDTH.HEIGHT利用以上方法完成区域截图。
以一串数字为例。
截图切割成一个一个数字
当时吧.认为自己对图片识别底层有一定了解.然后自己重写了一套OCR.
万万没想到在WIN 10上识别率过低.
最后老老实实的用了网上的框架.
AspriseOCR.dll.
DevIL.dll
ILU.dll
private string OCRPrise(string imgfile,string width, string height) { String gcstr = Marshal.PtrToStringAnsi(OCRpart(@"" + imgfile, -1, 0, 0,Convert.ToInt32( width),Convert.ToInt32( height))); gcstr = gcstr.Replace('O', '0'); gcstr = gcstr.Replace('o', '0'); gcstr = gcstr.Replace('Z', '2'); gcstr = gcstr.Replace('z', '2'); gcstr = gcstr.Replace('L', '1'); gcstr = gcstr.Replace('l', '1'); gcstr = gcstr.Replace('I', '1'); gcstr = gcstr.Replace('i', '1'); gcstr = gcstr.Replace('T', '7'); gcstr = gcstr.Replace('t', '7'); gcstr = gcstr.Replace('G', '9'); gcstr = gcstr.Replace('g', '9'); gcstr = gcstr.Replace('S', '5'); gcstr = gcstr.Replace('s', '5'); gcstr = gcstr.Replace('J', '2'); gcstr = gcstr.Replace('j', '2'); gcstr = gcstr.Replace(',', '.'); gcstr = gcstr.Replace("(P1C)", ""); gcstr = gcstr.Replace("-", ""); gcstr = gcstr.Replace("'", ""); string result = null; for (int i = 0; i < gcstr.Length; i++) { if (!String.IsNullOrWhiteSpace(gcstr[i].ToString())) { result += gcstr[i]; } } return result; }
以上就可以识别数字.在XP Win 7 Win10下识别率和兼容性还不错
以下讲我认知的OCR.
比如目前要识别一张黑纸白字的图片中的数字
每一张图片都可以被解析成数据
数据中会存放图片的每一个像素和它对应的XY以及RGB
比如要识别白字.黑色像素的RGB是000.那么我们去除黑色像素的数据.保留白色像素的特征.相对坐标和像素值作为标准特征.
下一次在识别白字黑纸的图片就在轮回一边.
要注意数字的切割和与标准特征的对比.
一张图片有上千个像素.在底层进行处理时算法的工作量非常大.如果能做到快速和高效.重写的OCR就算成功.
仅仅提供一个思路和经验.如果要做企业级应用.建议使用百度.阿里.微软的图片识别接口
index 写1就行.StaffData.OCRXY就是配置文件的Value.此案例只支持数字识别.
private string OCRDiscern(int index)//图片识别 { var frist = StaffData.OCRXY.Where(a1 => a1.Key == "1600*900").FirstOrDefault().Value.Split(new char[] { '!'}); int xystate = 0;//确定一个数字范围.轮回一次 List<int> startx = new List<int>(); List<int> endx = new List<int>(); Service.WindowsAPIService.Rect lpRect = new Service.WindowsAPIService.Rect(); //IntPtr hwnds = FindWindow(null, "上海增值税专用发票开具"); GetWindowRect(HeWindows.Value, ref lpRect); List<int> divisionx = new List<int>(); List<int> divisiony = new List<int>(); WindowsAPI.APISetWindowPos(HeWindows.Value, -1, 0, 0, 0, 0, 1 | 2); WindowsAPI.APIShowWindow(HeWindows.Value, 1); WindowsAPI.APISetForegroundWindow(HeWindows.Value); #region 截图 #region // GC ADD Thread.Sleep(2000); var ocrdata = frist[index].Split(new char[] { '|'}); // OCR.GetScreenSnapshot(lpRect.Left + Convert.ToInt32(ocrdata[0]), lpRect.Top + Convert.ToInt32(ocrdata[1]), Convert.ToInt32(ocrdata[2]), Convert.ToInt32(ocrdata[3])).Save(@"" + AppDomain.CurrentDomain.SetupInformation.ApplicationBase + "g" + index, ImageFormat.Bmp); OCR.GetScreenSnapshot(lpRect.Left + Convert.ToInt32(ocrdata[0]), lpRect.Top + Convert.ToInt32(ocrdata[1]),100,15).Save(@"" + AppDomain.CurrentDomain.SetupInformation.ApplicationBase + "g"+index, ImageFormat.Bmp); Bitmap bmp = OCR.GetScreenSnapshot(lpRect.Left + Convert.ToInt32(ocrdata[0]), lpRect.Top + Convert.ToInt32(ocrdata[1]), Convert.ToInt32(ocrdata[2]), Convert.ToInt32(ocrdata[3])); Rectangle rect = new Rectangle(0, 0, bmp.Width, bmp.Height); BitmapData bmpData = bmp.LockBits(rect, System.Drawing.Imaging.ImageLockMode.ReadOnly, bmp.PixelFormat); IntPtr ptr = bmpData.Scan0; int bytes = bmpData.Stride * bmp.Height; byte[] rgbValues = new byte[bytes]; Marshal.Copy(ptr, rgbValues, 0, bytes); byte red = 0; byte green = 0; byte blue = 0; for (int x = 0; x < bmp.Width; x++) { for (int y = 0; y < bmp.Height; y++) { //See the link above for an explanation //of this calculation int position = (y * bmpData.Stride) + (x * Image.GetPixelFormatSize(bmpData.PixelFormat) / 8); blue = rgbValues[position]; green = rgbValues[position + 1]; red = rgbValues[position + 2]; //Console.WriteLine("Fast: " + red + " " // + green + " " + blue); if (red == 128 && green == 0 && blue == 0) { divisionx.Add(x); divisiony.Add(y); break; } } } bmp.UnlockBits(bmpData); //END GC ADD #endregion #region 获取指定像素做截图范围 //var ocrdata = frist[3].Split(new char[] { '|'}); //hdc = GetDC(IntPtr.Zero); //for (int i = lpRect.Left + Convert.ToInt32( ocrdata[0]); i <= lpRect.Left + Convert.ToInt32(ocrdata[0]) + Convert.ToInt32(ocrdata[2]); i++) //{ // for (int a1 = lpRect.Top + Convert.ToInt32(ocrdata[1]); a1 < lpRect.Top + Convert.ToInt32(ocrdata[1]) + Convert.ToInt32(ocrdata[3]); a1++) // { // Color color = GetColor(i, a1); // if (color.R == 128 && color.G == 0 && color.B == 0) // { // divisionx.Add(i); // divisiony.Add(a1); // break; // } // } //} //ReleaseDC(IntPtr.Zero, hdc); #endregion if (divisionx.Count > 0) { #region 删除小数点 for (int ic = 0; ic < divisionx.Count; ic++) { if (ic <= divisionx.Count - 2) { if (ic == 0) { if (divisionx[ic] + 1 != divisionx[ic + 1]) { divisionx.Remove(divisionx[ic]); break; } } else { if (divisionx[ic] + 1 != divisionx[ic + 1] && divisionx[ic] - 1 != divisionx[ic - 1]) { divisionx.Remove(divisionx[ic]); break; } } } } #endregion #region 分割 for (int i = 0; i < divisionx.Count; i++) { if (i <= divisionx.Count - 2) { if (xystate == 0 && divisionx[i] + 1 == divisionx[i + 1]) { xystate = 1; startx.Add(divisionx[i]); //MessageBox.Show(startx.ToString()); } if (divisionx[i] + 1 != divisionx[i + 1] && xystate == 1) { xystate = 0; endx.Add(divisionx[i]); // MessageBox.Show(endx.ToString());//末尾数字无法确定像素范围.单独计算 } } } #endregion #region 添加末尾指定像素 int max = -1; int test; for (int i = 0; i < divisionx.Count; i++) { if (i <= divisionx.Count - 2) { max = (divisionx[i] > divisionx[i + 1] ? test = divisionx[i] : test = divisionx[i + 1]) > max ? (divisionx[i] > divisionx[i + 1] ? max = divisionx[i] : max = divisionx[i + 1]) : max; } } #endregion endx.Add(max); } #region 获取TOP像素 int maxy = -1; int testy; for (int i = 0; i < divisiony.Count; i++) { if (i <= divisiony.Count - 2) { if (maxy == -1) { maxy = (divisiony[i] > divisiony[i + 1] ? testy = divisiony[i + 1] : testy = divisiony[i]); } else { maxy = (divisiony[i] > divisiony[i + 1] ? testy = divisiony[i + 1] : testy = divisiony[i]) < maxy ? (divisiony[i] > divisiony[i + 1] ? testy = divisiony[i + 1] : testy = divisiony[i]) : maxy; } } } #endregion #region 获取Buttom像素 int buttommax = -1; int buttomtest; for (int i = 0; i < divisiony.Count; i++) { if (i <= divisiony.Count - 2) { buttommax = (divisiony[i] > divisiony[i + 1] ? buttomtest = divisiony[i] : buttomtest = divisiony[i + 1]) > buttommax ? (divisiony[i] > divisiony[i + 1] ? buttomtest = divisiony[i] : buttomtest = divisiony[i + 1]) : buttommax; } } #endregion #region 截图 int screenx; int screeny; int screenWidth; int screenHeight; if (startx.Count == endx.Count) { for (int i = 0; i < startx.Count; i++) { screenx = startx[i]; screeny = maxy; screenWidth = endx[i] - startx[i] + 2; screenHeight = buttommax - maxy + 2; //OCR.GetScreenSnapshot(screenx, screeny, screenWidth, screenHeight).Save(@"" + AppDomain.CurrentDomain.SetupInformation.ApplicationBase + i + ".bmp", ImageFormat.Bmp); Image img = Image.FromHbitmap(bmp.GetHbitmap()); Bitmap newbmp = new Bitmap(screenWidth, screenHeight, PixelFormat.Format32bppArgb); using (Graphics g = Graphics.FromImage(newbmp)) { //Rectangle origReg = new Rectangle(0, 0, bmp.Width, bmp.Height); //Rectangle destReg = new Rectangle(screenx, screeny, screenWidth, screenHeight); g.DrawImage(img, 0, 0, new Rectangle(screenx, screeny, screenWidth, screenHeight), GraphicsUnit.Pixel); } newbmp.Save(@"" + AppDomain.CurrentDomain.SetupInformation.ApplicationBase + i + ".bmp", ImageFormat.Bmp); } } else { MessageBox.Show("图片识别失败"); } #endregion #endregion WindowsAPI.APISetWindowPos(HeWindows.Value, -2, 0, 0, 0, 0, 1 | 2); // WindowsAPI.APIShowWindow(WindowsAPI.APIFindWindow(null, "票据预览"),1); #region 对比 #region 读取图片 string finallydata = null; List<string> ocr = FileIO.BitmapSean(); List<string> value = new List<string>(); KeyValuePair<string, string> dicdata = new KeyValuePair<string, string>(); if (ocr.Count > 0)//图片 { if (StaffData.OCRData.Count > 0)//模板 { for (int g = 0; g < ocr.Count; g++) { for (int i = 0; i <= 9; i++) { value.Clear(); dicdata = StaffData.OCRData.Where(a => a.Key== i.ToString()).FirstOrDefault();//模板的数据 string[] ocrtest = dicdata.Value.Split(new char[] { '!' }); if (ocrtest.Count() > 0) { for (int a = 0; a < ocrtest.Count(); a++) { value.Add(ocrtest[a]);//dic转list } if (value.Count > 0)//匹配 { string resultocr = OCR.TestOCRProperty(gaulxy: value, gaulFile: ocr[g], gaulKey: StaffData.OCRData.Where(a => a.Key == i.ToString()).FirstOrDefault().Key.ToString());//图片识别 if (resultocr != "-1") { finallydata += resultocr; break; } } } } } if (!String.IsNullOrWhiteSpace(finallydata)) { string last1 = finallydata[finallydata.Count() - 1].ToString(); string last2 = finallydata[finallydata.Count() - 2].ToString(); finallydata = finallydata.Substring(0, finallydata.Count() - 2); finallydata = finallydata + "." + last2 + last1; } // MessageBox.Show(finallydata); } } #endregion #region 删除图片 //List<string> imgdata = FileIO.BitmapSean(); //if (imgdata.Count > 0) //{ // for (int img = 0; img < imgdata.Count; img++) // { // if (File.Exists(imgdata[img])) // { // File.Delete(imgdata[img]); // } // } //} #endregion #endregion return finallydata; }
public string TestOCRProperty(List<string> gaulxy, string gaulFile, string gaulKey)//图片识别 { using (Bitmap bt = new Bitmap(@"" + gaulFile)) { List<string> goal = new List<string>();//目标图片坐标 List<string> read = gaulxy;//Read(@"C:\Users\Administrator\Desktop\XY\相对坐标\0相对坐标.txt");//标准坐标 // Bitmap bt = new Bitmap(@""+ gaulFile); var data = GetImagePixel(bt); for (int i = 0; i < data.Count; i++) { if (i != data.Count - 1) { string[] data1 = data[i].Split(new char[] { '|' }); string[] data2 = data[i + 1].Split(new char[] { '|' }); int a = Convert.ToInt32(data2[0]) - Convert.ToInt32(data1[0]); int b = Convert.ToInt32(data2[1]) - Convert.ToInt32(data1[1]); goal.Add(a + "|" + b); } else { string[] data2 = data[0].Split(new char[] { '|' }); string[] data1 = data[data.Count - 1].Split(new char[] { '|' }); int a = Convert.ToInt32(data2[0]) - Convert.ToInt32(data1[0]); int b = Convert.ToInt32(data2[1]) - Convert.ToInt32(data1[1]); goal.Add(a + "|" + b); } } List<int> Equals = new List<int>(); int result = -1; for (int i = 0; i < goal.Count; i++) { if (i <= read.Count - 1) { result = -10; result = String.Compare(goal[i], read[i]); Equals.Add(result); } } int resultdata = read.Count; int testdata = 0; for (int i = 0; i < Equals.Count; i++) { if (Equals[i] == 0) { testdata += 1; } } if (testdata >= resultdata * 90 / 100) { // MessageBox.Show("成功"); return gaulKey; } return "-1"; } }
<OCR> <!--数字特征--> <ocrdata key="0" value="1|0!1|0!-3|1!4|0!-4|1!4|0!-4|1!4|0!-4|1!4|0!-4|1!4|0!-4|1!4|0!-3|1!1|0!1|0!-2|-7"/> <ocrdata key="1" value="-1|1!1|0!0|1!0|1!0|1!0|1!0|1!-1|1!1|0!1|0!-1|-7"/> <ocrdata key="2" value="1|0!1|0!-3|1!4|0!-4|1!4|0!-1|1!-1|1!-1|1!-1|1!0|1!1|0!1|0!1|0!1|0!-3|-7"/> <ocrdata key="3" value="1|0!1|0!-3|1!4|0!0|1!-2|1!1|0!1|1!0|1!-4|1!4|0!-3|1!1|0!1|0!-2|-7"/> <ocrdata key="4" value="-1|1!1|0!-2|1!2|0!-2|1!2|0!-3|1!3|0!-2|1!1|0!1|0!1|0!-1|1!0|1!1|0!-1|-7"/> <ocrdata key="5" value="1|0!1|0!1|0!1|0!-4|1!0|1!0|1!1|0!1|0!1|0!1|1!0|1!-4|1!4|0!-3|1!1|0!1|0!-3|-7"/> <ocrdata key="6" value="1|0!1|0!-3|1!3|0!-3|1!0|1!1|0!1|0!1|0!-3|1!4|0!-4|1!4|0!-4|1!4|0!-3|1!1|0!1|0!-2|-7"/> <ocrdata key="7" value="1|0!1|0!1|0!1|0!-4|1!3|0!0|1!-1|1!0|1!0|1!0|1!0|1!-2|-7"/> <ocrdata key="8" value="1|0!1|0!-3|1!4|0!-4|1!4|0!-3|1!1|0!1|0!-3|1!4|0!-4|1!4|0!-4|1!4|0!-3|1!1|0!1|0!-2|-7"/> <ocrdata key="9" value="1|0!1|0!-3|1!4|0!-4|1!4|0!-4|1!4|0!-3|1!1|0!1|0!1|0!0|1!-3|1!3|0!-3|1!1|0!1|0!-2|-7"/> <!--以下为Win 10 数字特征--> <ocrdata key="!0 " value="1|0!1|0!-3|1!4|0!-4|1!4|0!-4|1!4|0!-4|1!4|0!-4|1!4|0!-4|1!4|0!-3|1!1|0!1|0!-2|-7"/> <ocrdata key="!5 " value="1|0!1|0!1|0!1|0!-4|1!0|1!0|1!1|0!1|0!1|0!-3|1!4|0!0|1!-4|1!4|0!-3|1!1|0!1|0!-3|-7"/> <ocrdata key="!6 " value="1|0!1|0!-3|1!4|0!-4|1!4|0!-4|1!3|0!1|0!-3|1!1|0!2|0!0|1!-4|1!3|0!-2|1!1|0!-1|-7"/> <ocrdata key="!8 " value="1|0!1|0!-3|1!4|0!-4|1!4|0!-3|1!1|0!1|0!-3|1!4|0!-4|1!4|0!-4|1!4|0!-3|1!1|0!1|0!-2|-7"/> <ocrata key="!9 " value="1|0!1|0!-3|1!4|0!-4|1!4|0!-4|1!3|0!1|0!-3|1!1|0!2|0!0|1!-4|1!3|0!-2|1!1|0!-1|-7"/> <!--截图范围--> <!--第一组金额.第二组税额.第三组小写.第四组发票编号--> <ocrxy key="1600*900" value="485|427|100|15!615|427|158|12!620|448|153|11!687|131|61|14"/> </OCR>
以上是我保存的数字特征.每一个像素的相对间距.仅供参考
