centos7下安装tesseract-ocr进行验证码识别

摘要：

　　centos7安装依赖库

　　tesseract配置

　　代码例子

centos7安装依赖库

  • 安装centos系统依赖

    yum install -y automake autoconf libtool gcc gcc-c++ 
yum install -y libpng-devel libjpeg-devel libtiff-devel

  • 安装leptonica

    wget http://www.leptonica.org/source/leptonica-1.72.tar.gz
tar xvzf leptonica-1.72.tar.gz
cd leptonica-1.72/ 
./configure 
make && make install

  • 安装tesseract-ocr

    wget https://github.com/tesseract-ocr/tesseract/archive/3.04.zip
unzip 3.04.zip
cd tesseract-3.04/ 
./configure
make && make install 
sudo ldconfig

  • 部署模型

  • 安装requirements.txt中的python依赖库

    pip install -r requirements.txt

tesseract配置

  • 在/usr/local/share/tessdata创建eng.user-patterns写入

    \n\n\n\n\n\n

    表示识别6位字符（或数字）

  • 在/usr/local/share/tessdata/configs创建myconfig写入

    #识别白名单
tessedit_char_whitelist abcdefghijklmnopqrstuvwxyz0123546789
#用户正则模式匹配
user_patterns_suffix user-patterns

  • psm参数说明

    -psm N
  Set Tesseract to only run a subset of layout analysis and assume a certain form of image. The options for N are:

  0 = Orientation and script detection (OSD) only.
  1 = Automatic page segmentation with OSD.
  2 = Automatic page segmentation, but no OSD, or OCR.
  3 = Fully automatic page segmentation, but no OSD. (Default)
  4 = Assume a single column of text of variable sizes.
  5 = Assume a single uniform block of vertically aligned text.
  6 = Assume a single uniform block of text.
  7 = Treat the image as a single text line.
  8 = Treat the image as a single word.
  9 = Treat the image as a single word in a circle.
  10 = Treat the image as a single character.

代码例子

1 import pytesseract
2 from PIL import Image
3 
4 image = Image.open('code.png')
5 code = pytesseract.image_to_string(image)
6 print code

 

posted @ 2017-10-12 11:53  混沌战神阿瑞斯  阅读(6618)  评论(4)  编辑  收藏  举报