#! /usr/bin/env python 
 
from PIL import Image 
import pytesseract 
 
url='img/denggao.jpeg' 
image=Image.open(url) 
#image=image.convert('RGB') # RGB 
image=image.convert('L') # 灰度 
image.load() 
text=pytesseract.image_to_string(image) 
print text 
#image.show() 
 
r'''''# 
zhongwen_url = 'img/zhongwen003.png' 
import os 
fn = "aaaa" 
# sudo apt-get install tesseract 
cmd = "tesseract " + zhongwen_url + " " + fn + " -l chi_sim" 
os.system(cmd) 
 
with open(fn+".txt", "r") as f: 
  print f 
 
 
ret=os.system('cat /etc/pam.conf') 
print ret 
print '----------------------' 
ret=os.popen('cat /etc/pam.conf') 
print ret''' 
 
r''''' 
import os 
import subprocess 
 
def image_to_string(img, cleanup=True, plus=''): 
  # cleanup为True则识别完成后删除生成的文本文件 
  # plus参数为给tesseract的附加高级参数 
  subprocess.check_output('tesseract ' + img + ' ' + 
              img + ' ' + plus, shell=True) # 生成同名txt文件 
  text = '' 
  with open(img + '.txt', 'r') as f: 
    text = f.read().strip() 
  if cleanup: 
    os.remove(img + '.txt') 
  return text 
# run > 
# print(image_to_string('./phototest.tif')) # 打印识别出的文本，删除txt文件 
# print(image_to_string('./phototest.tif', False)) # 打印识别出的文本，不删除txt文件 
# print(image_to_string('./phototest.tif', False, '-l eng')) # 打印识别出的文本，不删除txt文件，同时提供高级参数 
 
# PyTesser废弃... 
'''