c#实现识别图片上的验证码数字

public void imgdo(Bitmap img)    {      //去色      Bitmap btp = img;      Color c = new Color();      int rr, gg, bb;      for (int i = 0; i < btp.Width; i++)      {        for (int j = 0; j < btp.Height; j++)        {          //取图片当前的像素点          c = btp.GetPixel(i, j);          rr = c.R; gg = c.G; bb = c.B;          //改变颜色          if (rr == 102 && gg == 0 && bb == 0)          {            //重新设置当前的像素点            btp.SetPixel(i, j, Color.FromArgb(255, 255, 255, 255));          }          if (rr == 153 && gg == 0 && bb == 0)          {            //重新设置当前的像素点            btp.SetPixel(i, j, Color.FromArgb(255, 255, 255, 255));          } if (rr == 153 && gg == 0 && bb == 51)          {            //重新设置当前的像素点            btp.SetPixel(i, j, Color.FromArgb(255, 255, 255, 255));          } if (rr == 153 && gg == 43 && bb == 51)          {            //重新设置当前的像素点            btp.SetPixel(i, j, Color.FromArgb(255, 255, 255, 255));          }          if (rr == 255 && gg == 255 && bb == 0)          {            //重新设置当前的像素点            btp.SetPixel(i, j, Color.FromArgb(255, 255, 255, 255));          }          if (rr == 255 && gg == 255 && bb == 51)          {            //重新设置当前的像素点            btp.SetPixel(i, j, Color.FromArgb(255, 255, 255, 255));          }        }      }      btp.Save("d://去除相关颜色.png");       pictureBox2.Image = Image.FromFile("d://去除相关颜色.png");        //灰度      Bitmap bmphd = btp;      for (int i = 0; i < bmphd.Width; i++)      {        for (int j = 0; j < bmphd.Height; j++)        {          //取图片当前的像素点          var color = bmphd.GetPixel(i, j);           var gray = (int)(color.R * 0.001 + color.G * 0.700 + color.B * 0.250);           //重新设置当前的像素点          bmphd.SetPixel(i, j, Color.FromArgb(gray, gray, gray));        }      }      bmphd.Save("d://灰度.png");      pictureBox27.Image = Image.FromFile("d://灰度.png");        //二值化      Bitmap erzhi = bmphd;      Bitmap orcbmp;      int nn = 3;      int w = erzhi.Width;      int h = erzhi.Height;      BitmapData data = erzhi.LockBits(new Rectangle(0, 0, w, h), ImageLockMode.ReadOnly, PixelFormat.Format24bppRgb);      unsafe      {        byte* p = (byte*)data.Scan0;        byte[,] vSource = new byte[w, h];        int offset = data.Stride - w * nn;         for (int y = 0; y < h; y++)        {          for (int x = 0; x < w; x++)          {            vSource[x, y] = (byte)(((int)p[0] + (int)p[1] + (int)p[2]) / 3);            p += nn;          }          p += offset;        }        erzhi.UnlockBits(data);         Bitmap bmpDest = new Bitmap(w, h, PixelFormat.Format24bppRgb);        BitmapData dataDest = bmpDest.LockBits(new Rectangle(0, 0, w, h), ImageLockMode.WriteOnly, PixelFormat.Format24bppRgb);        p = (byte*)dataDest.Scan0;        offset = dataDest.Stride - w * nn;        for (int y = 0; y < h; y++)        {          for (int x = 0; x < w; x++)          {            p[0] = p[1] = p[2] = (int)vSource[x, y] > 161 ? (byte)255 : (byte)0;            //p[0] = p[1] = p[2] = (int)GetAverageColor(vSource, x, y, w, h) > 50 ? (byte)255 : (byte)0;            p += nn;           }          p += offset;        }        bmpDest.UnlockBits(dataDest);                 orcbmp = bmpDest;        orcbmp.Save("d://二值化.png");        pictureBox29.Image = Image.FromFile("d://二值化.png");      }       //OCR的值      if (orcbmp != null)      {        string result = Ocr(orcbmp);        label32.Text = result.Replace("/n", "/r/n").Replace(" ", "");      }     }

using System;using System.Collections.Generic;using System.Text;using System.Collections;using System.Drawing;using System.Drawing.Imaging;using System.Runtime.InteropServices; namespace BallotAiying2{  class UnCodebase  {    public Bitmap bmpobj;    public UnCodebase(Bitmap pic)    {      bmpobj = new Bitmap(pic);  //转换为Format32bppRgb    }     /// <summary>    /// 根据RGB，计算灰度值    /// </summary>    /// <param name="posClr">Color值</param>    /// <returns>灰度值，整型</returns>    private int GetGrayNumColor(System.Drawing.Color posClr)    {      return (posClr.R * 19595 + posClr.G * 38469 + posClr.B * 7472) >> 16;    }     /// <summary>    /// 灰度转换,逐点方式    /// </summary>    public void GrayByPixels()    {      for (int i = 0; i < bmpobj.Height; i++)      {        for (int j = 0; j < bmpobj.Width; j++)        {          int tmpValue = GetGrayNumColor(bmpobj.GetPixel(j, i));          bmpobj.SetPixel(j, i, Color.FromArgb(tmpValue, tmpValue, tmpValue));        }      }    }     /// <summary>    /// 去图形边框    /// </summary>    /// <param name="borderWidth"></param>    public void ClearPicBorder(int borderWidth)    {      for (int i = 0; i < bmpobj.Height; i++)      {        for (int j = 0; j < bmpobj.Width; j++)        {          if (i < borderWidth || j < borderWidth || j > bmpobj.Width - 1 - borderWidth || i > bmpobj.Height - 1 - borderWidth)            bmpobj.SetPixel(j, i, Color.FromArgb(255, 255, 255));        }      }    }     /// <summary>    /// 灰度转换,逐行方式    /// </summary>    public void GrayByLine()    {      Rectangle rec = new Rectangle(0, 0, bmpobj.Width, bmpobj.Height);      BitmapData bmpData = bmpobj.LockBits(rec, ImageLockMode.ReadWrite, bmpobj.PixelFormat);// PixelFormat.Format32bppPArgb);      //  bmpData.PixelFormat = PixelFormat.Format24bppRgb;      IntPtr scan0 = bmpData.Scan0;      int len = bmpobj.Width * bmpobj.Height;      int[] pixels = new int[len];      Marshal.Copy(scan0, pixels, 0, len);       //对图片进行处理      int GrayValue = 0;      for (int i = 0; i < len; i++)      {        GrayValue = GetGrayNumColor(Color.FromArgb(pixels));        pixels = (byte)(Color.FromArgb(GrayValue, GrayValue, GrayValue)).ToArgb();   //Color转byte      }       bmpobj.UnlockBits(bmpData);    }     /// <summary>    /// 得到有效图形并调整为可平均分割的大小    /// </summary>    /// <param name="dgGrayValue">灰度背景分界值</param>    /// <param name="CharsCount">有效字符数</param>    /// <returns></returns>    public void GetPicValidByValue(int dgGrayValue, int CharsCount)    {      int posx1 = bmpobj.Width; int posy1 = bmpobj.Height;      int posx2 = 0; int posy2 = 0;      for (int i = 0; i < bmpobj.Height; i++)   //找有效区      {        for (int j = 0; j < bmpobj.Width; j++)        {          int pixelValue = bmpobj.GetPixel(j, i).R;          if (pixelValue < dgGrayValue)   //根据灰度值          {            if (posx1 > j) posx1 = j;            if (posy1 > i) posy1 = i;             if (posx2 < j) posx2 = j;            if (posy2 < i) posy2 = i;          };        };      };      // 确保能整除      int Span = CharsCount - (posx2 - posx1 + 1) % CharsCount;  //可整除的差额数      if (Span < CharsCount)      {        int leftSpan = Span / 2;  //分配到左边的空列 ，如span为单数,则右边比左边大1        if (posx1 > leftSpan)          posx1 = posx1 - leftSpan;        if (posx2 + Span - leftSpan < bmpobj.Width)          posx2 = posx2 + Span - leftSpan;      }      //复制新图      Rectangle cloneRect = new Rectangle(posx1, posy1, posx2 - posx1 + 1, posy2 - posy1 + 1);      bmpobj = bmpobj.Clone(cloneRect, bmpobj.PixelFormat);    }         /// <summary>    /// 得到有效图形,图形为类变量    /// </summary>    /// <param name="dgGrayValue">灰度背景分界值</param>    /// <param name="CharsCount">有效字符数</param>    /// <returns></returns>    public void GetPicValidByValue(int dgGrayValue)    {      int posx1 = bmpobj.Width; int posy1 = bmpobj.Height;      int posx2 = 0; int posy2 = 0;      for (int i = 0; i < bmpobj.Height; i++)   //找有效区      {        for (int j = 0; j < bmpobj.Width; j++)        {          int pixelValue = bmpobj.GetPixel(j, i).R;          if (pixelValue < dgGrayValue)   //根据灰度值          {            if (posx1 > j) posx1 = j;            if (posy1 > i) posy1 = i;             if (posx2 < j) posx2 = j;            if (posy2 < i) posy2 = i;          };        };      };      //复制新图      Rectangle cloneRect = new Rectangle(posx1, posy1, posx2 - posx1 + 1, posy2 - posy1 + 1);      bmpobj = bmpobj.Clone(cloneRect, bmpobj.PixelFormat);    }     /// <summary>    /// 得到有效图形,图形由外面传入    /// </summary>    /// <param name="dgGrayValue">灰度背景分界值</param>    /// <param name="CharsCount">有效字符数</param>    /// <returns></returns>    public Bitmap GetPicValidByValue(Bitmap singlepic, int dgGrayValue)    {      int posx1 = singlepic.Width; int posy1 = singlepic.Height;      int posx2 = 0; int posy2 = 0;      for (int i = 0; i < singlepic.Height; i++)   //找有效区      {        for (int j = 0; j < singlepic.Width; j++)        {          int pixelValue = singlepic.GetPixel(j, i).R;          if (pixelValue < dgGrayValue)   //根据灰度值          {            if (posx1 > j) posx1 = j;            if (posy1 > i) posy1 = i;             if (posx2 < j) posx2 = j;            if (posy2 < i) posy2 = i;          };        };      };      //复制新图      Rectangle cloneRect = new Rectangle(posx1, posy1, posx2 - posx1 + 1, posy2 - posy1 + 1);      return singlepic.Clone(cloneRect, singlepic.PixelFormat);    }         /// <summary>    /// 平均分割图片    /// </summary>    /// <param name="RowNum">水平上分割数</param>    /// <param name="ColNum">垂直上分割数</param>    /// <returns>分割好的图片数组</returns>    public Bitmap [] GetSplitPics(int RowNum,int ColNum)    {      if (RowNum == 0 || ColNum == 0)        return null;      int singW = bmpobj.Width / RowNum;      int singH = bmpobj.Height / ColNum;      Bitmap [] PicArray=new Bitmap[RowNum*ColNum];       Rectangle cloneRect;      for (int i = 0; i < ColNum; i++)   //找有效区      {        for (int j = 0; j < RowNum; j++)        {          cloneRect = new Rectangle(j*singW, i*singH, singW , singH);          PicArray[i*RowNum+j]=bmpobj.Clone(cloneRect, bmpobj.PixelFormat);//复制小块图        }      }      return PicArray;    }     /// <summary>    /// 返回灰度图片的点阵描述字串，1表示灰点，0表示背景    /// </summary>    /// <param name="singlepic">灰度图</param>    /// <param name="dgGrayValue">背前景灰色界限</param>    /// <returns></returns>    public string GetSingleBmpCode(Bitmap singlepic, int dgGrayValue)    {      Color piexl;      string code = "";      for (int posy = 0; posy < singlepic.Height; posy++)        for (int posx = 0; posx < singlepic.Width; posx++)        {          piexl = singlepic.GetPixel(posx, posy);          if (piexl.R < dgGrayValue)  // Color.Black )            code = code + "1";          else            code = code + "0";        }      return code;    }  }}