Python OCR 验证码识别（pytesseract）
安装
- install Python Imaging Library
- Install google tesseract-ocr
- Install pytesseract with pip
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sudo apt-get install python-imaging
sudo apt-get install tesseract-ocr
sudo pip install pytesseract
最小应用
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>>> from PIL import Image
>>> import pytesseract
>>> ocr = Image.open('./Pictures/rand.jpg')
>>> pytesseract.image_to_string(ocr)
'240323'
将识别校验码的内容封装为ocr.py
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>>> import pytesseract
>>> import httplib2
>>> from PIL import Image
>>> from StringIO import StringIO
>>> def process_image(url):
>>> image = _get_image(url)
>>> return pytesseract.image_to_string(image)
>>> def _get_image(url):
>>> httplib2.debuglevel = 1
>>> h = httplib2.Http('.cache')
>>> response, content = h.request(url)
>>> return Image.open(StringIO(content))
调用ocr的process_image方法
以EMS的校验码为例：
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>>> import ocr
>>> url = 'http://www.ems.com.cn/ems/rand'
>>> ocr.process_image(url)
connect: (www.ems.com.cn, 80) ************
send: 'GET /ems/rand HTTP/1.1\r\nHost: www.ems.com.cn\r\naccept-encoding: gzip, deflate\r\nuser-agent: Python-httplib2/0.8 (gzip)\r\n\r\n'
reply: 'HTTP/1.1 200 OK\r\n'
header: Cache-Control: no-cache
header: Connection: close
header: Date: Wed, 11 Nov 2015 17:19:47 GMT
header: Content-Type: image/jpeg
header: Set-Cookie: JSESSIONID=Yfr9WD4TJbvpyPhqPdkndlJng6bH5P7LJKCqfygjZn4PvF9Kdlk8!-968903311; path=/; HttpOnly
header: X-Powered-By: Servlet/2.5 JSP/2.1
header: Set-Cookie: BIGipServerweb_pool=67830538.37151.0000; path=/
'443929'