python3使用Pillow、tesseract-ocr与pytesseract模块的图片识别的方法

pip install Pillow

sudo apt-get install tesseract-ocr
traineddata文件路径: /usr/share/tesseract-ocr/tessdata/

pip install pytesseract

# CHANGE THIS IF TESSERACT IS NOT IN YOUR PATH, OR IS NAMED DIFFERENTLY
tesseract_cmd = 'C:\\Program Files (x86)\\Tesseract-OCR\\tesseract.exe‘

pytesseract.pytesseract.tesseract_cmd = 'D:\\Tesseract-OCR\\tesseract.exe'

tessdata_dir_config = '--tessdata-dir "D:\\Tesseract-OCR\\tessdata"'
# tessdata_dir_config = '--tessdata-dir "'C:\\Program Files (x86)\\Tesseract-OCR\\tessdata"'
pytesseract.image_to_string(image, config=tessdata_dir_config)

# -*-coding:utf-8-*- 
from PIL import Image 
import sys 
import os 
import pytesseract
from selenium import webdriver 
sys.path.append('C:\Python27\Lib\site-packages\pytesser') 
import pytesser 
url='http://192.168.24.189/system/code?0.6824490785056669' 
driver = webdriver.Firefox() 
driver.maximize_window() #将浏览器最大化 
driver.get(url) 
imgelement = driver.find_element_by_id('codeImg') #定位验证码 
location = imgelement.location #获取验证码x,y轴坐标 
size=imgelement.size #获取验证码的长宽 
rangle=(int(location['x']),int(location['y']),int(location['x']+size['width']),int(location['y']+size['height'])) #写成我们需要截取的位置坐标 
name="code.jpg"  
driver.find_element_by_id("codeImg").click() 
driver.save_screenshot(name) #截取当前网页，该网页有我们需要的验证码 
aa=Image.open(name) #打开截图 
frame4=aa.crop(rangle) #使用Image的crop函数，从截图中再次截取我们需要的区域 
frame4.save(name) 
im = Image.open(name)
#转化到灰度图
imgry = im.convert('L')
#保存图像
imgry.save('g'+name)
#二值化，采用阈值分割法，threshold为分割点
threshold = 140
table = []
for j in range(256):
  if j < threshold:
    table.append(0)
  else:
    table.append(1)
out = imgry.point(table, '1')
out.save('b'+name)
#识别
text = pytesseract.image_to_string(out)
#识别对吗
text = text.strip()
text = text.upper();
print (text)
text = pytesseract.image_to_string(Image.open('code.png'), lang="eng")
print(text)