最近寫了幾個網站的驗證碼圖檔自動識别程式,盡管每個網站的驗證碼圖檔都不相同,識别的方法有所差别。但寫得多了,也總結出不少相同之處。今天抽空封裝出一個基礎類來,發現可以很好地重複利用,編寫不同的驗證碼識别程式,效率提高了不少。好東東不能獨享,現放出來供大家共同研究,請網友們妥善用之。
封裝後的類使用很簡單,針對不同的驗證碼,相應繼承修改某些方法,即可簡單幾句代碼就可以實作圖檔識别了:
GrayByPixels(); //灰階處理
GetPicValidByValue(128, 4); //得到有效空間
Bitmap[] pics = GetSplitPics(4, 1); //分割
string code = GetSingleBmpCode(pics[i], 128); //得到代碼串
具體使用,請參見我做的例子:

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); //轉換為Format32bppRgb
}
/// <summary>
/// 根據RGB,計算灰階值
/// </summary>
/// <param name="posClr">Color值</param>
/// <returns>灰階值,整型</returns>
private int GetGrayNumColor(System.Drawing.Color posClr)
return (posClr.R * 19595 + posClr.G * 38469 + posClr.B * 7472) >> 16;
/// 灰階轉換,逐點方式
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));
}
}
/// 去圖形邊框
/// <param name="borderWidth"></param>
public void ClearPicBorder(int borderWidth)
if (i < borderWidth || j < borderWidth || j > bmpobj.Width - 1 - borderWidth || i > bmpobj.Height - 1 - borderWidth)
bmpobj.SetPixel(j, i, Color.FromArgb(255, 255, 255));
/// 灰階轉換,逐行方式
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);
//對圖檔進行處理
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轉byte
bmpobj.UnlockBits(bmpData);
/// 得到有效圖形并調整為可平均分割的大小
/// <param name="dgGrayValue">灰階背景分界值</param>
/// <param name="CharsCount">有效字元數</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++) //找有效區
int pixelValue = bmpobj.GetPixel(j, i).R;
if (pixelValue < dgGrayValue) //根據灰階值
{
if (posx1 > j) posx1 = j;
if (posy1 > i) posy1 = i;
if (posx2 < j) posx2 = j;
if (posy2 < i) posy2 = i;
};
};
};
// 確定能整除
int Span = CharsCount - (posx2 - posx1 + 1) % CharsCount; //可整除的差額數
if (Span < CharsCount)
int leftSpan = Span / 2; //配置設定到左邊的空列 ,如span為單數,則右邊比左邊大1
if (posx1 > leftSpan)
posx1 = posx1 - leftSpan;
if (posx2 + Span - leftSpan < bmpobj.Width)
posx2 = posx2 + Span - leftSpan;
//複制新圖
Rectangle cloneRect = new Rectangle(posx1, posy1, posx2 - posx1 + 1, posy2 - posy1 + 1);
bmpobj = bmpobj.Clone(cloneRect, bmpobj.PixelFormat);
/// 得到有效圖形,圖形為類變量
public void GetPicValidByValue(int dgGrayValue)
/// 得到有效圖形,圖形由外面傳入
public Bitmap GetPicValidByValue(Bitmap singlepic, int dgGrayValue)
int posx1 = singlepic.Width; int posy1 = singlepic.Height;
for (int i = 0; i < singlepic.Height; i++) //找有效區
for (int j = 0; j < singlepic.Width; j++)
int pixelValue = singlepic.GetPixel(j, i).R;
return singlepic.Clone(cloneRect, singlepic.PixelFormat);
/// 平均分割圖檔
/// <param name="RowNum">水準上分割數</param>
/// <param name="ColNum">垂直上分割數</param>
/// <returns>分割好的圖檔數組</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++) //找有效區
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);//複制小塊圖
return PicArray;
/// 傳回灰階圖檔的點陣描述字串,1表示灰點,0表示背景
/// <param name="singlepic">灰階圖</param>
/// <param name="dgGrayValue">背前景灰色界限</param>
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;
}
}

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