扫描注册码图片对比相似度破解验证码代码,CSharp代码库,德仔网

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【CSharp】扫描注册码图片对比相似度破解验证码
作者:勤勤 / 发布于2015/1/13/ 779
1、下载目标验证码到内存
2、将验证码图片转化为黑白
3、取黑白像素点的深度对比出验证码

	using System;
	using System.Configuration;
	using System.Data;
	using System.Linq;
	using System.Web;
	using System.Web.Security;
	using System.Web.UI;
	using System.Web.UI.HtmlControls;
	using System.Web.UI.WebControls;
	using System.Web.UI.WebControls.WebParts;
	using System.Xml.Linq;

	using System.Drawing;
	using System.Drawing.Imaging;
	using System.Net;
	using System.Drawing.Drawing2D;
	using System.IO;
	using System.Text;
	using System.Collections;

	public partial class _Default : System.Web.UI.Page
	{
	 protected void Page_Load(object sender, EventArgs e)
	 {
	 if (!IsPostBack)
	 {
	 if (ComFun.Fail > 10)
	 {
	 string info = "当前注册成功：" + ComFun.Success.ToString() + "个<br/>当前注册失败： " + ComFun.Fail.ToString() + "个";

	 Response.Write(info);
	 Response.End();
	 }

	 //提交注册页面地址

	 string Url = "http://www.jiayuan.com/register/step_1.php";
	 //验证码地址

	 string ValidateCodeUrl = "http://www.jiayuan.com/antispam_v2.php?hash=";

	 HttpWebResponse resp;
	 HttpWebRequest req = (HttpWebRequest)HttpWebRequest.Create(ValidateCodeUrl);
	 req.CookieContainer = ComFun.cookie;
	 req.Timeout = 150000;//毫秒

	 resp = (HttpWebResponse)req.GetResponse();

	 //得到验证码图片

	 Bitmap bitmap = new System.Drawing.Bitmap(resp.GetResponseStream());

	 if (bitmap == null)
	 {
	 Response.Redirect("Default.aspx");

	 return;
	 }

	 //分析得到验证码

	 int[] Key = GetKey(bitmap);

	 bitmap.Clone();
	 bitmap.Dispose();

	 //页面提交参数

	 string go = "1";
	 string email = "bqev" + new Random().Next(0, 100000).ToString() + "q@yaaasdfas.com";//随即生成邮箱地址

	 string password = "123456";
	 string chkpass = "123456";
	 string nickname = "asd315yb";
	 string sex = "m";//f

	 string year = "1980";
	 string month = "21";
	 string day = "2111";
	 string height = "178";
	 string marriage = "1";
	 string degree = "70";
	 string income = "50";
	 //string contact_limit = "true";

	 string province = "11";
	 string city = "1101";
	 string mobile = "13691291985";
	 string needage_min = "18";
	 string needage_max = "20";
	 string needheight_min = "150";
	 string needheight_max = "170";
	 string needmarriage = "1";
	 string needdegree = "20";
	 //string nedegree_up = "true";

	 string neprovince = "11";
	 string necity = "1101";
	 string validate_code = "";//验证码

	 string note = "AAAAAAAAAA AAAAAAAAAA AAAAAAAAAA AAAAAAAAAA";//20-1000字

	 string readme = "on";

	 for (int i = 0; i < Key.Length; i++)
	 {
	 validate_code += Key[i].ToString();
	 }

	 StringBuilder PostData = new StringBuilder();

	 PostData
	 .Append("go=").Append(go)
	 .Append("&email=").Append(email)
	 .Append("&password=").Append(password)
	 .Append("&chkpass=").Append(chkpass)
	 .Append("&nickname=").Append(nickname)
	 .Append("&sex=").Append(sex)
	 .Append("&year=").Append(year)
	 .Append("&month=").Append(month)
	 .Append("&day=").Append(day)
	 .Append("&height=").Append(height)
	 .Append("&marriage=").Append(marriage)
	 .Append("&degree=").Append(degree)
	 .Append("&income=").Append(income)
	 //.Append("&contact_limit=").Append(contact_limit)

	 .Append("&province=").Append(province)
	 .Append("&city=").Append(city)
	 .Append("&mobile=").Append(mobile)
	 .Append("&needage_min=").Append(needage_min)
	 .Append("&needage_max=").Append(needage_max)
	 .Append("&needheight_min=").Append(needheight_min)
	 .Append("&needheight_max=").Append(needheight_max)
	 .Append("&needmarriage=").Append(needmarriage)
	 .Append("&needdegree=").Append(needdegree)
	 //.Append("&nedegree_up=").Append(nedegree_up)

	 .Append("&neprovince=").Append(neprovince)
	 .Append("&necity=").Append(necity)
	 .Append("&validate_code=").Append(validate_code)
	 .Append("&note=").Append(note)
	 .Append("&readme=").Append(readme);

	 string Error = null;
	 //提交并返回结果

	 string RegResultPage = ComFun.GetPage(Url, PostData.ToString(), "UTF-8", ref Error);

	 if (RegResultPage.IndexOf("注册成功") == -1)
	 {
	 ComFun.Fail++;
	 }
	 else
	 {
	 ComFun.Success++;
	 }

	 Response.Redirect("Default.aspx");
	 }
	 }

	 /// <summary>

	 /// 图像切割

	 /// </summary>

	 public int[] GetKey(Bitmap bitmap)
	 {
	 //宽度

	 int width = bitmap.Width;
	 //高度

	 int height = bitmap.Height;
	 //图像转化为黑白

	 bitmap = ConvertToGrayscale(bitmap);

	 int[,] xArray = new int[5, 2];//5个验证码起始x坐标

	 int[,] yArray = new int[5, 2];//5个验证码起始y坐标

	
	 //初始化验证码起始坐标

	 for (int i = 0; i < 5; i++)
	 {
	 for (int j = 0; j < 2; j++)
	 {
	 xArray[i, j] = 0;
	 yArray[i, j] = 0;
	 }
	 }

	 int isStart = 0;//是否开始

	 int lieHei = 0;//是否有黑点

	 int lieBai = 0;//是否有白点

	 int nX = 0;//第n个验证码，X方向看

	 int[,] PicBlackPixelY = new int[5, height];//5个验证码黑点像素点集合Y坐标

	 StringBuilder sb = new StringBuilder();//图片全部黑点坐标临时存储

	
	 for (int X = 0; X < width; X++) //x坐标

	 {
	 for (int Y = 1; Y < height - 1; Y++) //y坐标

	 {
	 //点(X,Y)的颜色

	 if (Y >= 1 && Y <= height - 2)
	 {
	 string color = ColorTranslator.ToHtml(bitmap.GetPixel(X, Y));
	 if (ShoveEL._Convert.StrToInt(color.Substring(1, 1), -1) >= 0 && ShoveEL._Convert.StrToInt(color.Substring(1, 1), -1) < 7)
	 {
	 lieHei = 1;//存在黑点

	 try
	 {
	 PicBlackPixelY[nX, Y] = Y;
	 }
	 catch { }
	 }
	 else
	 {
	 lieBai = 1;//存在白点

	 }
	 }
	 }

	 if (lieBai == 1 && lieHei == 1 && isStart == 0)//黑白相间

	 {
	 try
	 {
	 xArray[nX, 0] = X;
	 }
	 catch { }
	 isStart = 1;
	 }

	 if (lieBai == 1 && lieHei == 0 && isStart == 1)//全白

	 {
	 try
	 {
	 xArray[nX, 1] = X;
	 }
	 catch { }
	 isStart = 0;//结束

	 nX++;
	 }

	 lieHei = 0;
	 lieBai = 0;
	 }

	 //算出5个验证码y轴方向 最大最小 黑点坐标

	 for (int i = 0; i < 5; i++)
	 {
	 int minY = height;
	 int maxY = 0;

	 for (int j = 0; j < height; j++)
	 {
	 if (PicBlackPixelY[i, j] < minY && PicBlackPixelY[i, j] > 0)
	 {
	 minY = PicBlackPixelY[i, j];
	 }

	 if (PicBlackPixelY[i, j] > maxY)
	 {
	 maxY = PicBlackPixelY[i, j];
	 }
	 }

	 yArray[i, 0] = minY - 1;
	 yArray[i, 1] = maxY + 1;
	 }

	 for (int i = 0; i < 5; i++)
	 {
	 width = xArray[i, 1] - xArray[i, 0];
	 height = yArray[i, 1] - yArray[i, 0];

	 for (int offsetX = 0; offsetX < width; offsetX++) //x坐标

	 {
	 for (int offsetY = 0; offsetY < height; offsetY++) //y坐标

	 {
	 //获得验证码图片点的颜色

	 string color = ColorTranslator.ToHtml(bitmap.GetPixel(xArray[i, 0] + offsetX, yArray[i, 0] + offsetY));

	 if (ShoveEL._Convert.StrToInt(color.Substring(1, 1), -1) >= 0 && ShoveEL._Convert.StrToInt(color.Substring(1, 1), -1) < 8)
	 {
	 sb.Append(offsetX.ToString()).Append(offsetY.ToString()).Append(",");
	 }
	 }
	 }
	 sb.Remove(sb.Length - 1, 1);
	 sb.AppendLine("|");
	 }

	 bitmap.Dispose();

	 //得到验证码

	 int[] Key = ComparePic(sb);

	 return Key;
	 }

	 /// <summary>

	 /// 比较图片相似度已确定验证码对应数字

	 /// </summary>

	 /// <param name="sb"></param>

	 /// <returns></returns>

	 private int[] ComparePic(StringBuilder sb)
	 {
	 //特征图片像素点集合：数字0-9像素点集合，做对比用

	 ArrayList arr = new ArrayList();

	 arr.Add(new int[] { 03, 04, 05, 06, 07, 08, 09, 12, 13, 14, 15, 16, 17, 19, 110, 21, 22, 23, 24, 25, 26, 27, 28, 29, 210, 211, 31, 32, 33, 39, 310, 311, 41, 42, 45, 411, 51, 53, 59, 510, 511, 62, 63, 64, 66, 67, 68, 610, 611, 72, 73, 74, 75, 76, 77, 78, 79, 710, 83, 84, 85, 86, 87, 88, 89 });
	 arr.Add(new int[] { 04, 05, 13, 14, 15, 22, 23, 24, 31, 32, 33, 34, 35, 36, 37, 38, 39, 310, 311, 41, 42, 43, 44, 45, 46, 47, 48, 49, 410, 411, 51, 52, 53, 54, 55, 57, 58, 59, 510, 511 });
	 arr.Add(new int[] { 04, 010, 011, 13, 14, 19, 110, 111, 21, 22, 23, 24, 28, 29, 210, 211, 31, 32, 33, 37, 38, 39, 310, 311, 41, 42, 46, 47, 48, 49, 410, 411, 51, 53, 55, 56, 57, 58, 510, 511, 61, 62, 63, 64, 65, 66, 67, 610, 611, 71, 72, 73, 74, 75, 76, 710, 711, 82, 83, 84, 85, 810, 811 });
	 arr.Add(new int[] { 02, 03, 09, 010, 11, 12, 13, 18, 19, 110, 111, 21, 22, 23, 29, 210, 211, 31, 32, 35, 36, 310, 311, 41, 42, 45, 46, 410, 411, 51, 52, 53, 54, 55, 56, 57, 59, 510, 511, 61, 62, 63, 64, 65, 66, 67, 68, 69, 610, 611, 72, 73, 74, 76, 77, 78, 79, 710, 87, 88, 89 });
	 arr.Add(new int[] { 08, 09, 16, 17, 18, 19, 25, 26, 28, 29, 34, 35, 36, 37, 38, 39, 43, 44, 45, 48, 49, 52, 53, 54, 58, 59, 61, 62, 63, 64, 65, 66, 67, 68, 610, 611, 71, 73, 74, 75, 76, 77, 78, 79, 710, 711, 81, 82, 83, 84, 85, 86, 87, 88, 89, 811, 98, 99 });
	 arr.Add(new int[] { 04, 05, 09, 11, 12, 13, 14, 15, 16, 19, 110, 21, 22, 23, 24, 25, 26, 29, 210, 32, 33, 34, 35, 39, 310, 311, 41, 42, 44, 45, 410, 411, 51, 52, 54, 55, 59, 510, 511, 61, 62, 64, 65, 66, 67, 68, 69, 610, 611, 71, 72, 75, 76, 77, 78, 79, 710, 81, 82, 85, 86, 87, 88, 89 });
	 arr.Add(new int[] { 04, 05, 06, 07, 08, 09, 12, 13, 14, 15, 16, 17, 18, 19, 110, 21, 22, 23, 25, 26, 27, 28, 29, 210, 31, 32, 33, 36, 37, 39, 310, 311, 41, 42, 45, 46, 410, 411, 51, 52, 55, 510, 511, 61, 62, 63, 65, 66, 67, 68, 69, 610, 611, 72, 73, 76, 77, 78, 79, 710, 83, 86, 87, 88, 89, 810 });
	 arr.Add(new int[] { 01, 02, 11, 12, 21, 22, 28, 29, 210, 211, 31, 32, 37, 38, 39, 310, 41, 42, 44, 45, 46, 47, 48, 49, 410, 411, 51, 53, 54, 55, 56, 57, 58, 61, 62, 63, 64, 65, 71, 72, 73, 81, 82 });
	 arr.Add(new int[] { 02, 03, 04, 07, 08, 09, 010, 12, 13, 14, 16, 17, 18, 19, 110, 111, 21, 22, 23, 24, 25, 26, 27, 28, 29, 210, 211, 31, 32, 33, 35, 36, 37, 39, 310, 311, 41, 42, 45, 46, 410, 411, 51, 52, 55, 56, 57, 59, 510, 511, 61, 62, 63, 64, 65, 66, 67, 68, 69, 610, 611, 72, 74, 75, 76, 77, 78, 710, 82, 83, 84, 88, 89 });
	 arr.Add(new int[] { 03, 05, 09, 12, 13, 14, 15, 16, 17, 19, 110, 21, 22, 23, 24, 25, 26, 29, 210, 211, 31, 32, 33, 35, 36, 37, 39, 310, 311, 41, 42, 46, 47, 410, 411, 51, 52, 56, 59, 510, 511, 61, 63, 64, 65, 66, 67, 68, 69, 610, 72, 73, 74, 75, 76, 77, 78, 79, 710, 83, 84, 85, 86, 87, 88, 89 });

	 int[] Key = new int[5];

	 string[] picPixel = sb.ToString().Split('|');//各验证码点集合

	
	 //对比相似程度

	 for (int i = 0; i < 5; i++)
	 {
	 string[] p = picPixel[i].Split(',');

	 for (int j = 0; j < 10; j++)
	 {
	 int[] B = (int[])(arr[j]);

	 try
	 {
	 //选出当前验证码跟特征图片相同的点

	 var q = from a in p join b in B on Convert.ToInt32(a) equals b select b;

	 //相似程度 = 相似像素点数/当前验证数字像素数

	 double xs = (double)q.Count<int>() / (double)p.Length;

	 if (xs > 0.9)//90%相似，表明该图片就是该数字了

	 {
	 Key[i] = j;

	 break;
	 }
	 }
	 catch { }
	 }
	 }

	 return Key;
	 }

	 /// <summary>

	 /// 放大缩小图片尺寸

	 /// </summary>

	 /// <param name="picPath"></param>

	 /// <param name="reSizePicPath"></param>

	 /// <param name="iSize"></param>

	 /// <param name="format"></param>

	 public void PicSized(string picPath, string reSizePicPath, int iSize, ImageFormat format)
	 {
	 Bitmap originBmp = new Bitmap(picPath);

	 int w = originBmp.Width * iSize;
	 int h = originBmp.Height * iSize;

	 Bitmap resizedBmp = new Bitmap(w, h);
	 Graphics g = Graphics.FromImage(resizedBmp);

	 //设置高质量插值法

	 g.InterpolationMode = System.Drawing.Drawing2D.InterpolationMode.High;
	 //设置高质量,低速度呈现平滑程度

	 g.SmoothingMode = System.Drawing.Drawing2D.SmoothingMode.HighQuality;
	 g.CompositingQuality = System.Drawing.Drawing2D.CompositingQuality.HighQuality;
	 //消除锯齿

	 g.SmoothingMode = SmoothingMode.AntiAlias;

	 g.DrawImage(originBmp, new Rectangle(0, 0, w, h), new Rectangle(0, 0, originBmp.Width, originBmp.Height), GraphicsUnit.Pixel);

	 resizedBmp.Save(reSizePicPath, format);

	 g.Dispose();
	 resizedBmp.Dispose();
	 originBmp.Dispose();
	 }

	 /// <summary>

	 /// 彩色图片转化为黑白

	 /// </summary>

	 /// <param name="source"></param>

	 /// <returns></returns>

	 public Bitmap ConvertToGrayscale(Bitmap bitmap)
	 {
	 Bitmap bm = new Bitmap(bitmap.Width, bitmap.Height);

	 for (int y = 0; y < bm.Height; y++)
	 {
	 for (int x = 0; x < bm.Width; x++)
	 {
	 Color c = bitmap.GetPixel(x, y);

	 int rgb = (int)(c.R * 0.3 + c.G * 0.59 + c.B * 0.11);

	 bm.SetPixel(x, y, Color.FromArgb(rgb, rgb, rgb));
	 }
	 }

	 return bm;
	 }
	}
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