Python实现破解12306图片验证码的方法分析

#!/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 Imagefrom PIL import ImageFilterimport urllibimport urllib2import reimport json# hack CERTIFICATE_VERIFY_FAILED# https://github.com/mtschirs/quizduellapi/issues/2import sslif hasattr(ssl, '_create_unverified_context'):  ssl._create_default_https_context = ssl._create_unverified_contextUA = "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_imdef 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