用于验证码图片识别的类续（C#代码）

 最近写了几个网站的验证码图片自动识别程序，尽管每个网站的验证码图片都不相同，识别的方法有所差别。但写得多了，也总结出不少相同之处。今天抽空封装出一个基础类来，发现可以很好地重复利用，编写不同的验证码识别程序，效率提高了不少。好东东不能独享，现放出来供大家共同研究，请网友们妥善用之。
        封装后的类使用很简单，针对不同的验证码，相应继承修改某些方法，即可简单几句代码就可以实现图片识别了：
            GrayByPixels(); //灰度处理
            GetPicValidByValue(128, 4); //得到有效空间
            Bitmap[] pics = GetSplitPics(4, 1);     //分割
            string code = GetSingleBmpCode(pics[i], 128);   //得到代码串

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            具体使用，请参见我做的例子：
                 投票程序示例.exe      投票程序源码
       （例子说明：使用进程投票，可自动清除Alert弹出窗口，可自动换IP，ADSL用户自行修改Restart.bat中第三行内容）


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[i]));


                pixels[i] = (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;


        }


    }


}