一个验证码识别的代码
字体固定,位置固定,干扰点和字体颜色深度没有交叉,比如下面的样例,是我前几天帮朋友写投票机刷票时碰到的一个具体案例。
 
基本就三步,确定特征码-分割图片-逐个匹配,代码很简单,不超过100行
using System;
using System.Collections.Generic;
using System.Text;
using System.Drawing;
namespace BmpNumber
{
    class Number
    {
        //数字特征库
       static int[,] _num0 = new int[7, 10] { { 0, 0, 1, 1, 1, 1, 1, 1, 0, 0 }, { 0, 1, 1, 1, 1, 1, 1, 1, 1, 0 }, 
                                        { 1, 1, 1, 0, 0, 0, 0, 1, 1, 1 }, { 1, 1, 0, 0, 0, 0, 0, 0, 1, 1 }, 
                                        { 1, 1, 1, 0, 0, 0, 0, 1, 1, 1 }, { 0, 1, 1, 1, 1, 1, 1, 1, 1, 0 }, { 0, 0, 1, 1, 1, 1, 1, 1, 0, 0 } };
        static int[,] _num1 = new int[7, 10] { { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, { 0, 0, 1, 1, 0, 0, 0, 0, 0, 0 }, 
                                        { 0, 1, 1, 0, 0, 0, 0, 0, 0, 0 }, { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 }, 
                                        { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 }, { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 } };
        static int[,] _num2 = new int[7, 10] { { 0, 0, 1, 1, 0, 0, 0, 0, 1, 1 }, { 0, 1, 1, 1, 0, 0, 0, 1, 1, 1 }, 
                                        { 1, 1, 0, 0, 0, 0, 1, 1, 1, 1 }, { 1, 1, 0, 0, 0, 1, 1, 0, 1, 1 }, 
                                        { 1, 1, 0, 0, 1, 1, 0, 0, 1, 1 }, { 1, 1, 1, 1, 1, 0, 0, 0, 1, 1 }, { 0, 1, 1, 1, 0, 0, 0, 0, 1, 1 } };
        static int[,] _num3 = new int[7, 10] { { 0, 0, 1, 0, 0, 0, 1, 1, 0, 0 }, { 0, 1, 1, 0, 0, 0, 1, 1, 1, 0 }, 
                                        { 1, 1, 0, 0, 0, 0, 0, 1, 1, 1 }, { 1, 1, 0, 0, 1, 0, 0, 0, 1, 1 }, 
                                        { 1, 1, 0, 0, 1, 0, 0, 0, 1, 1 }, { 1, 1, 1, 1, 1, 1, 1, 1, 1, 0 }, { 0, 1, 1, 1, 0, 1, 1, 1, 0, 0 } };
        static int[,] _num4 = new int[7, 10] { { 0, 0, 0, 0, 0, 1, 1, 1, 0, 0 }, { 0, 0, 0, 0, 1, 1, 1, 1, 0, 0 }, 
                                        { 0, 0, 1, 1, 1, 0, 1, 1, 0, 0 }, { 0, 1, 1, 0, 0, 0, 1, 1, 0, 0 }, 
                                        { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 }, { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 }, { 0, 0, 0, 0, 0, 0, 1, 1, 0, 0 } };
        static int[,] _num5 = new int[7, 10] { { 0, 0, 0, 1, 1, 1, 0, 1, 1, 0 }, { 1, 1, 1, 1, 1, 1, 0, 1, 1, 1 }, 
                                        { 1, 1, 1, 1, 1, 0, 0, 0, 1, 1 }, { 1, 1, 0, 1, 1, 0, 0, 0, 1, 1 },
                                        { 1, 1, 0, 1, 1, 0, 0, 0, 1, 1 }, { 1, 1, 0, 1, 1, 1, 1, 1, 1, 0 }, { 1, 1, 0, 0, 0, 1, 1, 1, 0, 0 } };
        static int[,] _num6 = new int[7, 10] { { 0, 0, 1, 1, 1, 1, 1, 1, 0, 0 }, { 0, 1, 1, 1, 1, 1, 1, 1, 1, 0 }, 
                                        { 1, 1, 1, 0, 1, 1, 0, 0, 1, 1 }, { 1, 1, 0, 0, 1, 1, 0, 0, 1, 1 }, 
                                        { 1, 1, 0, 0, 1, 1, 0, 1, 1, 1 }, { 1, 1, 1, 0, 1, 1, 1, 1, 1, 1 }, { 0, 1, 1, 0, 0, 1, 1, 1, 1, 0 } };
        static int[,] _num7 = new int[7, 10] { { 1, 1, 0, 0, 0, 0, 0, 0, 0, 0 }, { 1, 1, 0, 0, 0, 0, 0, 0, 0, 0 }, 
                                        { 1, 1, 0, 0, 0, 0, 0, 1, 1, 1 }, { 1, 1, 0, 0, 1, 1, 1, 1, 1, 1 }, 
                                        { 1, 1, 0, 1, 1, 1, 0, 0, 0, 0 }, { 1, 1, 1, 1, 0, 0, 0, 0, 0, 0 }, { 1, 1, 0, 0, 0, 0, 0, 0, 0, 0 } };
        static int[,] _num8 = new int[7, 10] { { 0, 1, 1, 1, 0, 0, 1, 1, 1, 0 }, { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 }, 
                                        { 1, 1, 0, 0, 1, 1, 0, 0, 1, 1 }, { 1, 1, 0, 0, 1, 1, 0, 0, 1, 1 }, 
                                        { 1, 1, 0, 0, 1, 1, 0, 0, 1, 1 }, { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 }, { 0, 1, 1, 1, 0, 0, 1, 1, 1, 0 } };
        static int[,] _num9 = new int[7, 10] { { 0, 1, 1, 1, 1, 0, 0, 1, 1, 0 }, { 1, 1, 1, 1, 1, 1, 0, 1, 1, 1 }, 
                                        { 1, 1, 0, 0, 1, 1, 0, 0, 1, 1 }, { 1, 1, 0, 0, 1, 1, 0, 0, 1, 1 }, 
                                        { 1, 1, 0, 0, 1, 1, 0, 1, 1, 1 }, { 0, 1, 1, 1, 1, 1, 1, 1, 1, 0 }, { 0, 0, 1, 1, 1, 1, 1, 1, 0, 0 } };
        static private int[,] getNum(Bitmap bmp, int index)
        {
            //分割图片
            int[,] _num = new int[7, 10];
            for (int i = index * 10 + 2; i < index * 10 + 9; i++)
            {
                for (int j = 6; j < 16; j++)
                {
                    Color c = bmp.GetPixel(i, j);
                    if (c.R < 100)
                    {
                        _num[i - 2 - index * 10, j - 6] = 1;
                    }
                }
            }
            return _num;
        }
        static private int CheckNumber(int[,] number)
        {
            if (CheckNumber(_num0, number) == true) return 0;
            if (CheckNumber(_num1, number) == true) return 1;
            if (CheckNumber(_num2, number) == true) return 2;
            if (CheckNumber(_num3, number) == true) return 3;
            if (CheckNumber(_num4, number) == true) return 4;
            if (CheckNumber(_num5, number) == true) return 5;
            if (CheckNumber(_num6, number) == true) return 6;
            if (CheckNumber(_num7, number) == true) return 7;
            if (CheckNumber(_num8, number) == true) return 8;
            if (CheckNumber(_num9, number) == true) return 9;
            return 6;
        }
        static private bool CheckNumber(int[,] dic, int[,] number)
        {
            //逐个匹配
            for (int i = 0; i < 7; i++)
            {
                for (int j = 0; j < 10; j++)
                {
                    if (dic[i, j] == 1 && number[i, j] != 1)
                    {
                        return false;
                    }
                }
            }
            return true;
        }
        static public string getNumber(Bitmap bmp)
        {
            //调用
            string str = "";
            for (int i = 0; i <= 3; i++)
            {
                int[,] number = getNum(bmp, i);
                int m = CheckNumber(number);
                str += m.ToString();
            }
            return str;
        }
    }
}
用以下代码调用就可以看到输出结果为9637了,这个识别代码没有用到任何高级算法,所以也只能识别初级的验证码,但是对特征库扩展之后也可以识别出规范的字母。
System.Net.WebClient wb = new System.Net.WebClient();
            byte[] b=wb.DownloadData("http://p.blog.csdn.net/images/p_blog_csdn_net/jinjazz/355056/o_rrr.bmp");
            System.IO.MemoryStream ms=new System.IO.MemoryStream(b);
            System.Drawing.Bitmap bmp = new Bitmap(ms);
            string str = BmpNumber.Number.getNumber(bmp);
            Console.WriteLine(str);   
 
                    
                 
                
            
         
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浙公网安备 33010602011771号