一、需求分析 识别身份证图片上的身份证号码。 如：
二、python实现源代码
# !/usr/bin/python #-*-coding:utf-8-*- import sys reload(sys) sys.setdefaultencoding('utf-8') import time time1 = time.time() from PIL import Image import pytesseract ###########二值化算法 def binarizing(img,threshold): pixdata = img.load() w, h = img.size for y in range(h): for x in range(w): if pixdata[x, y] < threshold: pixdata[x, y] = 0 else: pixdata[x, y] = 255 return img ###########去除干扰线算法 def depoint(img): #input: gray image pixdata = img.load() w,h = img.size for y in range(1,h-1): for x in range(1,w-1): count = 0 if pixdata[x,y-1] > 245: count = count + 1 if pixdata[x,y+1] > 245: count = count + 1 if pixdata[x-1,y] > 245: count = count + 1 if pixdata[x+1,y] > 245: count = count + 1 if count > 2: pixdata[x,y] = 255 return img ########身份证号码识别 def identity_OCR(pic_path): #####身份证号码截图 img1=Image.open(pic_path) w,h=img1.size ##将身份证放大3倍 out=img1.resize((w*3,h*3),Image.ANTIALIAS) region = (125*3,200*3,370*3,250*3) #裁切身份证号码图片 cropImg = out.crop(region) # 转化为灰度图 img= cropImg.convert('L') # 把图片变成二值图像。 img1=binarizing(img,100) img2=depoint(img) code = pytesseract.image_to_string(img2) print "识别该身份证号码是:"+str(code) if __name__ == '__main__': pic_path="/root/image/331.jpg" identity_OCR(pic_path) time2 = time.time() print u'总共耗时：' + str(time2 - time1) + 's'三、效果（照片清晰 都能完整识别出来）
