參考：

http://oatest.dragonbravo.com/Authenticate/SignIn?returnUrl=%2f

http://drops.wooyun.org/tips/6313

http://blog.csdn.net/nwpulei/article/details/8457738

http://www.pythonclub.org/project/captcha/python-pil

http://blog.csdn.net/csapr1987/article/details/7728315??創(chuàng)建二維碼圖片

python驗證碼識別庫安裝

1.安裝圖像處理庫PIL，即Python Image Library。

下載地址：http://www.pythonware.com/products/pil/

2.?安裝google OCR識別引擎pytesseract

以管理員身份運行命令提示行。

cd C:\Python27\Scripts

pip install pytesseract

單色無干擾驗證碼識別

對于完全單色沒有任何干撓的驗證碼，識別起來比較容易。代碼如下：

importosimportpytesseractimportImage

os.chdir('C:\Users\Administrator\Downloads\picture')

image= Image.open('verifycode.jpg')

vcode=pytesseract.image_to_string(image)print vcode

彩色有干擾驗證碼識別

中值過濾去噪。此種類型驗證碼包含了噪點，所以第一步就是去噪。

對圖像亮度進行加強處理。中值過濾時，不少噪點淡化了，但是如果直接轉(zhuǎn)換為單色，這些噪點又被強化顯示了，因此增加這一步對圖像亮度進行加強處理。

轉(zhuǎn)換為單色。即通過二值化，將低于閾值的設置為0，高于閾值的設置為1，從而實現(xiàn)將圖片變?yōu)楹诎咨：谏袼剌敵?，白色像素輸出0。

代碼如下：

os.chdir('C:\Users\Administrator\Downloads\picture')

image= Image.open('vcode.gif')

images=image.filter(ImageFilter.MedianFilter())

enhancer=ImageEnhance.Contrast(images)

images= enhancer.enhance(2)

images= images.convert('1')

images.show()

驗證碼圖像處理腦圖如下：

附上pytesseract簡介：

Metadata-Version: 1.1

Name: pytesseract

Version: 0.1.6

Summary: Python-tesseract is a python wrapper for google's Tesseract-OCR

Home-page: https://github.com/madmaze/python-tesseract

Author: Matthias Lee

Author-email: pytesseract@madmaze.net

License: GPLv3

Description: Python-tesseract is an optical character recognition (OCR) tool for python.

That is, it will recognize and "read" the text embedded in images.

Python-tesseract is a wrapper for google's Tesseract-OCR

( http://code.google.com/p/tesseract-ocr/ ).? It is also useful as a

stand-alone invocation script to tesseract, as it can read all image types

supported by the Python Imaging Library, including jpeg, png, gif, bmp, tiff,

and others, whereas tesseract-ocr by default only supports tiff and bmp.

Additionally, if used as a script, Python-tesseract will print the recognized

text in stead of writing it to a file. Support for confidence estimates and

bounding box data is planned for future releases.

USAGE:

```

> try:

>???? import Image

> except ImportError:

>???? from PIL import Image

> import pytesseract

> print(pytesseract.image_to_string(Image.open('test.png')))

> print(pytesseract.image_to_string(Image.open('test-european.jpg'), lang='fra'))

```

INSTALLATION:

Prerequisites:

* Python-tesseract requires python 2.5 or later or python 3.

* You will need the Python Imaging Library (PIL).? Under Debian/Ubuntu, this is

the package "python-imaging" or "python3-imaging" for python3.

* Install google tesseract-ocr from http://code.google.com/p/tesseract-ocr/ .

You must be able to invoke the tesseract command as "tesseract". If this

isn't the case, for example because tesseract isn't in your PATH, you will

have to change the "tesseract_cmd" variable at the top of 'tesseract.py'.

Under Debian/Ubuntu you can use the package "tesseract-ocr".

Installing via pip:

See the [pytesseract package page](https://pypi.python.org/pypi/pytesseract)

```

$> sudo pip install pytesseract

```

Installing from source:

```

$> git clone git@github.com:madmaze/pytesseract.git

$> sudo python setup.py install

```

LICENSE:

Python-tesseract is released under the GPL v3.

CONTRIBUTERS:

- Originally written by [Samuel Hoffstaetter](https://github.com/hoffstaetter)

- [Juarez Bochi](https://github.com/jbochi)

- [Matthias Lee](https://github.com/madmaze)

- [Lars Kistner](https://github.com/Sr4l)

Keywords: python-tesseract OCR Python

Platform: UNKNOWN

Classifier: Programming Language :: Python

Classifier: Programming Language :: Python :: 2

Classifier: Programming Language :: Python :: 3

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