python识别验证码

Windows系统

示例代码

import sysimport timeimport urllibimport shutilimport pytesser3import requestsfrom lxml import etreeconfig={'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 randomimport requestsimport urllib.parseimport urllib.requestfrom PIL import Imageimport pytesseractfrom time import time,strftime, localtimedef 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 imgdef 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 imgdef 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-_-||