用于验证码图片识别的类(C#源码)

        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
         

            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(
255255255));
                }

            }

        }


        
/// <summary>
        
/// 灰度转换,逐行方式
        
/// </summary>

        public void GrayByLine()
        
{
            Rectangle rec 
= new Rectangle(00, 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 = 0int 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 = 0int 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 = 0int 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;
        }

    }

}

posted @ 2007-09-25 13:23  元宝  阅读(112214)  评论(63编辑  收藏  举报
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