PicConverText.py

#!/usr/bin/env python
# coding=utf8
# author=evi1m0
# website=linux.im

'''
    12306 Captcha Picture:
    author: Evi1m0@20150316
        1. Download Captcha
        2. Pic Conver Text
        3. Return result
'''

import re
import time
import json
import urllib
import urllib2
import requests

from PIL import Image


def downloadImg():
    pic_file = int(time.time())
    pic_url = "https://kyfw.12306.cn/otn/passcodeNew/getPassCodeNew?module=login&rand=sjrand"
    print '[+] Download Picture: {}'.format(pic_url)
    try:
        resp = requests.get(pic_url, verify=False, timeout=5)
    except:
        resp = requests.get(pic_url, verify=False, timeout=3)
    with open("./12306_pic/%s.jpg"%pic_file, 'wb') as fp:
        fp.write(resp.content)
    return pic_file

def imgCut():
    pic_file = downloadImg()
    pic_path = "./12306_pic/%s.jpg" % pic_file
    pic_text_path = './12306_pic/%s_text.jpg' % pic_file
    pic_obj = Image.open(pic_path)
    box = (120,0,290,25)
    region = pic_obj.crop(box)
    region.save(pic_text_path)
    print '[*] Picture Text Picture: {}'.format(pic_text_path)
    return pic_path, pic_text_path

def ocrApi(filename):
    # Text picture conver text.
    upload_pic_url = "http://cn.docs88.com/pdftowordupload2.php"
    headers_fake = {
            'ccept': '*/*',
            'Accept-Encoding': 'gzip, deflate',
            'Accept-Language': 'zh-CN,zh;q=0.8,en;q=0.6',
            'Connection': 'keep-alive',
            'Host': 'cn.docs88.com',
            'Origin': 'http://cn.docs88.com',
            'User-Agent': 'Mozilla/5.0 (KHTML, like Gecko) Chrome/41.0.2272.89',
            'X-Requested-With': 'ShockwaveFlash/17.0.0.134',
            }
    filename_tmp = filename.split('/')[-1]
    pic_text_content = open(filename).read()
    para = {'Filename': filename_tmp,
           'sourcename': filename_tmp,
           'sourcelanguage': 'cn',
           'desttype': 'txt',
           'Upload': 'Submit Query',}
    upload_pic = requests.post(upload_pic_url, data=para, files={"Filedata" : open(filename, 'rb')}, headers=headers_fake)
    time.sleep(2)
    text_result_url = 'http://cn.docs88.com/' + upload_pic.content[3:]
    text_result = requests.get(text_result_url)
    if text_result.status_code == 200:
        print '[*] Text: {}'.format(text_result.content)
    else:
        print '[-] False'
    return text_result.content


'''
    baidu stu
    author: andelf
'''
def baidu_stu_html_extract(html):
    pattern = re.compile(r"keywords:'(.*?)'")
    matches = pattern.findall(html)
    if not matches:
        return '[UNKOWN]'
    json_str = matches[0]
    json_str = json_str.replace('\\x22', '"').replace('\\\\', '\\')
    result = [item['keyword'] for item in json.loads(json_str)]
    return '|'.join(result) if result else '[UNKOWN]'

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 get_sub_img(pic_text_path, x, y):
    im = Image.open(pic_text_path)
    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))


if __name__ == '__main__':
    UA = "Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.89 Safari/537.36"
    pic_path, pic_text_path = imgCut()
    captcha_text = ocrApi(pic_text_path)
    dict_list = {}
    count = 0
    for y in range(2):
        for x in range(4):
            count += 1
            im2 = get_sub_img(pic_path, x, y)
            result = baidu_stu_lookup(im2)
            dict_list[count] = result
            print (y,x), result
    if captcha_text.strip() > 2:
        print '\n[*] Maybe the result of the:'
        maybe_result = []
        for v in dict_list:
            for c in range(len(unicode(captcha_text.strip(), 'utf8'))):
                text = unicode(captcha_text, 'utf8')[c]
                if text in dict_list[v]:
                    _str_res = '%s --- %s' % (v, dict_list[v])
                    maybe_result.append(_str_res)
        for r in list(set(maybe_result)):
            print r
    else:
        print '[-] False'