谈谈Python进行验证码识别的一些想法

#encoding=utf-8
###利用点的密度计算
import Image,ImageEnhance,ImageFilter,ImageDraw
import sys
from pytesser import *
#计算范围内点的个数
def numpoint(im):
w,h = im.size
data = list( im.getdata() )
mumpoint=0
for x in range(w):
for y in range(h):
if data[ y*w + x ] !=255:#255是白色
mumpoint+=1
return mumpoint
#计算5*5范围内点的密度
def pointmidu(im):
w,h = im.size
p=[]
for y in range(0,h,5):
for x in range(0,w,5):
box = (x,y, x+5,y+5)
im1=im.crop(box)
a=numpoint(im1)
if a<11:##如果5*5范围内小于11个点，那么将该部分全部换为白色。
for i in range(x,x+5):
for j in range(y,y+5):
im.putpixel((i,j), 255)
im.save(r'img.jpg')
def ocrend():##识别
image_name = "img.jpg"
im = Image.open(image_name)
im = im.filter(ImageFilter.MedianFilter())
enhancer = ImageEnhance.Contrast(im)
im = enhancer.enhance(2)
im = im.convert('1')
im.save("1.tif")
print image_file_to_string('1.tif') 
if __name__=='__main__':
image_name = "1.png"
im = Image.open(image_name)
im = im.filter(ImageFilter.DETAIL)
im = im.filter(ImageFilter.MedianFilter())
enhancer = ImageEnhance.Contrast(im)
im = enhancer.enhance(2)
im = im.convert('1')
##a=remove_point(im)
pointmidu(im)
ocrend()