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以前看过一篇关于验证码识别功能的代码，于是整理了一下。主要原理就是识别图片的颜色不同从而转换为文字。不过对于不规则的验证码就不太行了。

recordString = string.Empty;            IHTMLControlRange imgRange;            IHTMLDocument2 document = new HTMLDocumentClass();            document = (IHTMLDocument2)this.axWebBrowser.Document;            HTMLBody body = (HTMLBody)document.body;            Bitmap bmp = new Bitmap(50, 20);            foreach (IHTMLImgElement imageElement in document.images)            {                if (imageElement.src.IndexOf("suijitupian") > -1)                {                    imgRange = (IHTMLControlRange)body.createControlRange();                    imgRange.add((IHTMLControlElement)imageElement);                    imgRange.execCommand("Copy", false, null);                    bmp = (Bitmap)Clipboard.GetDataObject().GetData(DataFormats.Bitmap);                    bmp.Save(@"now.bmp");                }            }            this.EraseNoiseDotAndGray(bmp);            this.pictureBox1.Image = bmp;            bmp.Save(@"now_no_noise_dot.bmp");            //从左向右一列一列扫描，寻找四个数字的左右边界以切割            int verticalBlackContent = 0;            int width = 0;                        int currentNumberIndex = 0;            int[,] horizonAxisArray = new int[4,2];            //左右边界初始化            for (int i = 0; i < 4; i++)            {                for (int j = 0; j < 2; j++)                {                    horizonAxisArray[i, j] = 0;                }            }            while (currentNumberIndex <= 3 && width < 50)            {                for (int h = 8; h < 18; h++)                {                    if (bmp.GetPixel(width, h).ToArgb() == Color.Black.ToArgb())                    {                        verticalBlackContent++;                    }                }                if (horizonAxisArray[currentNumberIndex, 0] == 0 && verticalBlackContent > 0) //左边界                {                    horizonAxisArray[currentNumberIndex, 0] = width;                }                else if (horizonAxisArray[currentNumberIndex, 0] != 0 && horizonAxisArray[currentNumberIndex, 1] == 0 && verticalBlackContent == 0) //右边界                {                    horizonAxisArray[currentNumberIndex++, 1] = width - 1;                }                width = width + 1;                verticalBlackContent = 0;            }            int[] tNumArr = new int[4]; //识别后的4个数字            //加载10个标准数字            Bitmap[] sNumArr = new Bitmap[10];            for (int i = 0; i < 10; i++)            {                sNumArr[i] = new Bitmap(@"s" + i + ".bmp");            }            //分割出来的4个数字分别与等宽的标准数字相匹配            for (int i = 0; i < 4; i++)            {                int maxMatch = 0;                Bitmap cutNum = bmp.Clone(new Rectangle(horizonAxisArray[i, 0], 8, horizonAxisArray[i, 1] - horizonAxisArray[i, 0] + 1, 10), PixelFormat.Format24bppRgb);                for (int s = 0; s < 10; s++)                {                    if (cutNum.Width == sNumArr[s].Width) //等宽则匹配                    {                        int curMatch = 0;                        for (int j = 0; j < cutNum.Width; j++)                        {                            for (int k = 0; k < 10; k++)                            {                                if (cutNum.GetPixel(j, k).ToArgb() == sNumArr[s].GetPixel(j, k).ToArgb() &&                                    cutNum.GetPixel(j, k).ToArgb() == Color.Black.ToArgb() &&                                    sNumArr[s].GetPixel(j, k).ToArgb() == Color.Black.ToArgb())                                {                                    curMatch++;                                }                            }                        }                        if (curMatch > maxMatch)                        {                            maxMatch = curMatch;                            tNumArr[i] = s;                        }                    }                }                recordString += tNumArr[i] + "";            }            this.richTextBox1.Text = recordString;

private void EraseNoiseDotAndGray(Bitmap bmp)        {            for (int w = 0; w < 50; w++)            {                for (int h = 0; h < 20; h++)                {                    if (bmp.GetPixel(w, h).R == 204) //为杂点，变为白色                    {                        bmp.SetPixel(w, h, Color.White);                    }                    else if (bmp.GetPixel(w, h).G != 255) //为数字所在点，变为黑色                    {                        bmp.SetPixel(w, h, Color.Black);                    }                }            }        }

 这里用了AxWebBrowser控件，结果老是加不到工具栏中去，所以只好手动写了个初始化，然后加到Desinge里。

private AxWebBrowser axWebBrowser = null;        private void InitialAxWebBrowser()        {            System.ComponentModel.ComponentResourceManager resources = new System.ComponentModel.ComponentResourceManager(typeof(VCCMainForm));            this.axWebBrowser = new AxSHDocVw.AxWebBrowser();            ((System.ComponentModel.ISupportInitialize)(this.axWebBrowser)).BeginInit();            this.axWebBrowser.Dock = System.Windows.Forms.DockStyle.Bottom;            this.axWebBrowser.Enabled = true;            this.axWebBrowser.Location = new System.Drawing.Point(0, 225);            this.axWebBrowser.OcxState = ((System.Windows.Forms.AxHost.State)(resources.GetObject("axWebBrowser.OcxState")));            this.axWebBrowser.Size = new System.Drawing.Size(592, 212);            this.axWebBrowser.TabIndex = 0;            this.axWebBrowser.ProgressChange += new DWebBrowserEvents2_ProgressChangeEventHandler(axWebBrowser_ProgressChange);            this.axWebBrowser.StatusTextChange += new DWebBrowserEvents2_StatusTextChangeEventHandler(axWebBrowser_StatusTextChange);            this.axWebBrowser.DocumentComplete += new DWebBrowserEvents2_DocumentCompleteEventHandler(axWebBrowser_DocumentComplete);            this.Controls.Add(this.axWebBrowser);        }

结果如下：

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