c#实现识别图片上的验证码数字

这篇文章主要介绍了c#实现识别图片上的验证码数字的方法，本文给大家汇总了2种方法，有需要的小伙伴可以参考下。

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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(" ", "");       }         }

C#识别验证码图片通用类

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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;     }   } }