python识别验证码

Windows系统

示例代码

import sys
import time
import urllib
import shutil
import pytesser3
import requests
from lxml import etree
config={'gid':1}
def parse(s, html, idx):
    result = {}
    tree = etree.HTML(html)
    valimg = None
    valimgs = tree.xpath('//img[@id="imgCode"]/@src')
    if len(valimgs) > 0:
        valimg = valimgs[0]

    validateCode = None
    if valimg:
        fname = 'img/' + str(0) + '_' + str(config['gid']) + '.jpg'
        config['gid'] = config['gid'] + 1
        ri = s.get("https://sojump.com/jq/16276361.aspx?from=timeline" + valimg)
        with open(fname, 'wb') as f:
            for chk in ri:
                f.write(chk)
            f.close()
        validateCode = pytesser.image_file_to_string(fname)
        validateCode = validateCode.strip()
        validateCode = validateCode.replace(' ', '')
        validateCode = validateCode.replace('\n', '')
        result['validateCode'] = validateCode

    return result 
s = requests.Session()
r = s.get('https://sojump.com/jq/16276361.aspx?from=timeline')
while True:
        res = parse(s, r.text, 0)
print(res)

一：安装pytesser3
1.安装pytesser3

pip3 install pytesser3

2.安装PIL(前者的依赖)

pip install pillow

3.安装tesseract-ocr引擎(没有会识别的很慢)

http://101.96.10.43/internode.dl.sourceforge.net/project/tesseract-ocr-alt/tesseract-ocr-setup-3.02.02.exe(win)

http://blog.csdn.net/strugglerookie/article/details/71606540(linux:centos)

二：安装lxml

pip3 install lxml

**

Linux系统

**
示例代码：

mport random
import requests
import urllib.parse
import urllib.request
from PIL import Image
import pytesseract
from time import time,strftime, localtime
def download(qid,header,i):
        url='https://www.wjx.cn/AntiSpamImageGen.aspx?q='+qid+'&t='+str(int(time() * 1000))
        req = urllib.request.Request(url,headers=header)def download(qid,header,i):
        url='https://www.wjx.cn/AntiSpamImageGen.aspx?q='+qid+'&t='+str(int(time() * 1000))
        req = urllib.request.Request(url,headers=header)
        data = urllib.request.urlopen(req).read()
        pic = open('%d.gif'%(i),'wb')
        pic.write(data)
        pic.close()
def binarizing(img): #input: gray image 对图像灰度值低的像素点处理，去除噪声
        threshold=30
        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] = 255
                        else:
                                pixdata[x, y] = 0
        return img
def depoint(img):   #input: gray image
        pixdata = img.load()
        w,h = img.size
        for y in range(1,h-1):#图像扩展防止溢出
                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
def shibie(img):
        imgry = img.convert('L')#convert对图片处理（参数L是对图像灰度处理）
        threshold = 140
        table = []
        for i in range(256):
                if i < threshold:
                        table.append(0)
                else:
                        table.append(1)
        out = imgry.point(table, '1')
        print(str(pytesseract.image_to_string(out)).strip())#识别
        return(str(pytesseract.image_to_string(out)).strip())

1.
安装pytesseract

pip3 install pytesseract

2.安装PIL

pip3 install pillow

3.剩下的看提示吧-_-||