Python实现破解12306图片验证码的方法分析_Python

本文实例讲述了Python实现破解 12306 图片验证码的方法。分享给大家供大家参考，具体如下：

不知从何时起，12306的登录验证码竟然变成了按字找图，可以说是又提高了一个等次，竟然把图像识别都用上了。不过有些图片，不得不说有些变态，图片的清晰图就更别说了，明显是从网络上的图库中搬过来的。

Python实现破解12306图片验证码的方法分析

谁知没多久，网络就惊现破解12306图片验证码的Python代码了，作为一个爱玩爱刺激的网虫，当然要分享一份过来。

代码大致流程：

1、将验证码图片下载下来，然后切图；
2、利用百度识图进行图片分析；
3、再利用正则表达式来取出百度识图的关键字，最后输出。

代码：

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									#!/usr/bin/python

									# # FileName  : fuck12306.py

									# # Author   : MaoMao Wang <andelf@gmail.com>

									# # Created   : Mon Mar 16 22:08:41 2015 by ShuYu Wang

									# # Copyright  : Feather (c) 2015

									# # Description : fuck fuck 12306

									# # Time-stamp: <2015-03-17 10:57:44 andelf>

									from PIL import Image

									from PIL import ImageFilter

									import urllib

									import urllib2

									import re

									import json

									# hack CERTIFICATE_VERIFY_FAILED

									# https://github.com/mtschirs/quizduellapi/issues/2

									import ssl

									if hasattr(ssl, '_create_unverified_context'):

									  ssl._create_default_https_context = ssl._create_unverified_context

									UA = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.89 Safari/537.36"

									pic_url = "https://kyfw.12306.cn/otn/passcodeNew/getPassCodeNew?module=login&rand=sjrand&0.21191171556711197"

									def get_img():

									  resp = urllib.urlopen(pic_url)

									  raw = resp.read()

									  with open("./tmp.jpg", 'wb') as fp:

									    fp.write(raw)

									  return Image.open("./tmp.jpg")

									def get_sub_img(im, x, y):

									  assert 0 <= x <= 3

									  assert 0 <= y <= 2

									  WITH = HEIGHT = 68

									  left = 5 + (67 + 5) * x

									  top = 41 + (67 + 5) * y

									  right = left + 67

									  bottom = top + 67

									  return im.crop((left, top, right, bottom))

									def baidu_stu_lookup(im):

									  url = "http://stu.baidu.com/n/image?fr=html5&needRawImageUrl=true&id=WU_FILE_0&name=233.png&type=image%2Fpng&lastModifiedDate=Mon+Mar+16+2015+20%3A49%3A11+GMT%2B0800+(CST)&size="

									  im.save("./query_temp_img.png")

									  raw = open("./query_temp_img.png", 'rb').read()

									  url = url + str(len(raw))

									  req = urllib2.Request(url, raw, {'Content-Type':'image/png', 'User-Agent':UA})

									  resp = urllib2.urlopen(req)

									  resp_url = resp.read()   # return a pure url

									  url = "http://stu.baidu.com/n/searchpc?queryImageUrl=" + urllib.quote(resp_url)

									  req = urllib2.Request(url, headers={'User-Agent':UA})

									  resp = urllib2.urlopen(req)

									  html = resp.read()

									  return baidu_stu_html_extract(html)

									def baidu_stu_html_extract(html):

									  #pattern = re.compile(r'<script type="text/javascript">(.*?)</script>', re.DOTALL | re.MULTILINE)

									  pattern = re.compile(r"keywords:'(.*?)'")

									  matches = pattern.findall(html)

									  if not matches:

									    return '[UNKNOWN]'

									  json_str = matches[0]

									  json_str = json_str.replace('\\x22', '"').replace('\\\\', '\\')

									  #print json_str

									  result = [item['keyword'] for item in json.loads(json_str)]

									  return '|'.join(result) if result else '[UNKNOWN]'

									def ocr_question_extract(im):

									  # git@github.com:madmaze/pytesseract.git

									  global pytesseract

									  try:

									    import pytesseract

									  except:

									    print "[ERROR] pytesseract not installed"

									    return

									  im = im.crop((127, 3, 260, 22))

									  im = pre_ocr_processing(im)

									  # im.show()

									  return pytesseract.image_to_string(im, lang='chi_sim').strip()

									def pre_ocr_processing(im):

									  im = im.convert("RGB")

									  width, height = im.size

									  white = im.filter(ImageFilter.BLUR).filter(ImageFilter.MaxFilter(23))

									  grey = im.convert('L')

									  impix = im.load()

									  whitepix = white.load()

									  greypix = grey.load()

									  for y in range(height):

									    for x in range(width):

									      greypix[x,y] = min(255, max(255 + impix[x,y][0] - whitepix[x,y][0],

									                    255 + impix[x,y][1] - whitepix[x,y][1],

									                    255 + impix[x,y][2] - whitepix[x,y][2]))

									  new_im = grey.copy()

									  binarize(new_im, 150)

									  return new_im

									def binarize(im, thresh=120):

									  assert 0 < thresh < 255

									  assert im.mode == 'L'

									  w, h = im.size

									  for y in xrange(0, h):

									    for x in xrange(0, w):

									      if im.getpixel((x,y)) < thresh:

									        im.putpixel((x,y), 0)

									      else:

									        im.putpixel((x,y), 255)

									if __name__ == '__main__':

									  im = get_img()

									  #im = Image.open("./tmp.jpg")

									  print 'OCR Question:', ocr_question_extract(im)

									  for y in range(2):

									    for x in range(4):

									      im2 = get_sub_img(im, x, y)

									      result = baidu_stu_lookup(im2)

									      print (y,x), result

希望本文所述对大家Python程序设计有所帮助。

原文链接：http://blog.csdn.net/wuxing26jiayou/article/details/78915864

Python实现破解12306图片验证码的方法分析

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