验证码识别(python)-阿里云开发者社区

验证码识别(python)

2017-12-07 1422

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简介：

参考：
http://blog.csdn.net/lanphaday/archive/2007/10/28/1852726.aspx
http://www.zhuaxia.com/item/852269537
java

package Main;

import java.awt.image.BufferedImage;
import java.net.URL;

import javax.imageio.ImageIO;

public class Test {

     public static void main(String[] args) throws Exception {
        BufferedImage img = ImageIO.read( new URL( " file:/C:/src/python/gve/22.jpeg " ));
         int imgWith = img.getWidth();
         int imgHeight = img.getHeight();
         int bgint = img.getRGB( 0 , 0 );
         for ( int y = 0 ; y < imgHeight; y ++ ) {
            System.out.println();
             for ( int x = 0 ; x < imgWith; x ++ ) {
                System.out.print(getBit(img, x, y,bgint));
            }
        }
    }

     private static char getBit(BufferedImage img, int x, int y, int bgint) {
         int intCurtColor;
        intCurtColor = img.getRGB(x, y);
         return (intCurtColor == bgint) ? ' 0 ' : ' ' ;
    }
}

               000     000 0        0 00 0 0     0 0
                        0 000      00 0 0 0      0 0
             00 00      0 0 00       0    00   0 00 0
           0000   0 0    0 0 0            0   00    0 0
            00    0           0             0 00      0
            00    0       00 0           0     00     0
           0 0     0      0 0            0       00   0
            00    00    0 0 0          0         0 00 0
           0 0              0 00        0         0 0 0
           0       00        0         0             0 00
            0 0   00         0 0                      00
             00   0           0      00 0        0 0 0
               00 0   0 0 00       0 0          0 0 0
               0 0      00 0 0        00          0000
python

# encoding=utf-8
import Image,ImageEnhance,ImageFilter
import sys

image_name = " ./22.jpeg "

#去处干扰点
im = Image.open(image_name)
im = im.filter(ImageFilter.MedianFilter())
enhancer = ImageEnhance.Contrast(im)
im = enhancer.enhance( 2 )
im = im.convert( ' 1 ' )

# im.show() #测试查看

s = 12        # 启始切割点 x
t = 2         # 启始切割点 y

w = 10        # 切割宽 +y
h = 15        # 切割长 +x

im_new = []
for i in range( 4 ): # 验证码切割
    im1 = im.crop((s + w * i + i * 2 ,t,s + w * (i + 1 ) + i * 2 ,h))
    im_new.append(im1)

# im_new[0].show()#测试查看

xsize, ysize = im_new[0].size
gd = []
for i in range(ysize):
    tmp = []
     for j in range(xsize):
         if ( im_new[0].getpixel((j,i)) == 255 ):
            tmp.append( 1 )
         else :
            tmp.append(0)
    gd.append(tmp)

#看效果
for i in range(ysize):
     print gd[i]

比如 "0"
[ 1, 1, 0, 0, 0, 0, 1, 1, 1, 1 ]
[0, 0, 0, 0, 0, 0, 0, 1, 1, 1 ]
[0, 0, 0, 1, 1, 0, 0, 0, 0, 1 ]
[0, 0, 1, 1, 1, 1, 0, 0, 0, 1 ]
[0, 0, 1, 1, 1, 1, 0, 0, 0, 1 ]
[0, 0, 1, 1, 1, 1, 0, 0, 0, 1 ]
[0, 0, 1, 1, 1, 1, 0, 0, 0, 1 ]
[0, 0, 1, 1, 1, 1, 0, 0, 0, 1 ]
[0, 0, 1, 1, 1, 1, 0, 0, 0, 1 ]
[0, 0, 0, 1, 1, 1, 0, 0, 0, 1 ]
[0, 0, 0, 1, 1, 0, 0, 0, 0, 1 ]
[ 1 , 0, 0, 0, 0, 0, 0, 0, 1, 1 ]
[ 1, 1, 0, 0, 0, 0, 0, 1, 1, 1 ]

有时间在学习下匹配。

本文转自博客园刘凯毅的博客，原文链接：验证码识别(python)，如需转载请自行联系原博主。

验证码识别(python)

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