验证码垂直切割，适合不粘连文字

Author: qianlifeng

Captcha/VerticalCut.py

@@ -0,0 +1,105 @@
+#coding=gbk
+
+from __future__ import unicode_literals
+import Image
+import urllib
+from Binaryzation import Binaryzation
+
+class VerticalCut(object):
+    '''
+    垂直分割，适用于字符之间没有粘连的情况
+    所谓垂直分割就是按列扫描，找到某列没有黑色像素点（已经二值化）的位置
+    
+    依赖于二值化
+    '''
+
+    img = None
+
+    def __init__(self, img):
+        self.img = img
+        
+    def getBorderPoint(self):
+        """
+        获得图像的左右边界，即在这个区间之外的都是空的图像。在这个区间之内才有图像
+        """ 
+        im = self.img 
+        pixels = im.load()  
+        w, h = im.size  
+        
+        left = -1
+        right = -1
+        breakout = False
+        
+        #找左边界
+        for x in range(w):  
+            for y in range(h):  
+                if pixels[x, y] == 0:  #该列中的某个点为黑色
+                    left = x
+                    breakout = True
+                    break
+            if breakout:
+                break
+                
+        breakout = False
+        #找右边界
+        for x in range(w-1,0,-1):  
+            for y in range(h):  
+                if pixels[x, y] == 0:  #该列中的某个点为黑色
+                    right = x
+                    breakout = True
+                    break
+            if breakout:
+                break
+                
+        return left,right
+        
+    def showVerticalProjection(self,graph):  
+        w = len(graph)  
+        h = max(graph)  
+        img = Image.new('1', (w, h))
+        for x in range(w):  
+            for y in range(h):  
+                if y <= graph[x]:  
+                    img.putpixel((x, y), 255)  
+                else:  
+                    break  
+        img = img.transpose(Image.FLIP_TOP_BOTTOM)  
+        img.show()  
+    
+    def cut(self):
+        """
+        开始垂直分割
+        """
+        
+        if self.img:
+            pixels = self.img.load()  
+            w,h = self.img.size
+            start,end = self.getBorderPoint()
+            graph = [0] * (end - start)  #指定数组的长度
+            
+            #从开始到结尾，逐列扫描，把每列的像素点个数记下来
+            for x in range(start, end):  
+                for y in range(h):  
+                    pixel = pixels[x, y]
+                    if pixel == 0: # 此列有字符  
+                        graph[x - start] += 1
+            return graph
+        
+        return None
+            
+if __name__ == '__main__':
+     
+    #简单验证码地址：http://su.100steps.net/2007/vote/verify.php
+    #淘宝验证码地址：http://regcheckcode.taobao.com/auction/checkcode?sessionID=f06c56ea0e0bda9a9d71832422b68f29
+    url = 'http://su.100steps.net/2007/vote/verify.php'
+    s = urllib.urlopen(url).read()
+    f = open('v.jpg','wb')
+    f.write(s)
+    f.close()
+    im = Image.open('v.jpg')
+    b =  Binaryzation(im)
+    im = b.ConvertToBinaryzation(160)
+    im.show()
+    v = VerticalCut(im)
+    print v.cut()
+