不知從何時起，12306的登入驗證碼竟然變成了按字找圖，可以說是又提高了一個等次，竟然把影象識別都用上了。不過有些圖片，不得不說有些變態，圖片的清晰圖就更別說了，明顯是從網路上的相簿中搬過來的。

誰知沒多久，網路就驚現破解12306圖片驗證碼的Python程式碼了，作為一個愛玩愛刺激的網蟲，當然要分享一份過來。

程式碼大致流程：

1、將驗證碼圖片下載下來，然後切圖；

2、利用百度識圖進行圖片分析；

3、再利用正則表示式來取出百度識圖的關鍵字，最後輸出。

程式碼：  
 #!/usr/bin/python  
# #  FileName    : fuck12306.py  
# #  Author      : MaoMao Wang <
 
[email protected]>  
# #  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):  
    # 
 
[email protected]: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