tesserocr与pytesseract模块如何使用解析

#从文件识别图像字符
In [7]: tesserocr.file_to_text('image.png')
Out[7]: 'Python3WebSpider\n\n'

#查看tesseract已安装的语言包
In [8]: tesserocr.get_languages()
Out[8]: ('/usr/share/tesseract/tessdata/', ['eng'])

#从图片数据识别图像字符
In [9]: tesserocr.image_to_text(im)
Out[9]: 'Python3WebSpider\n\n'

#查看版本信息
In [10]: tesserocr.tesseract_version()
Out[10]: 'tesseract 3.04.00\n leptonica-1.72\n libgif 4.1.6(?) : libjpeg 6b (libjpeg-turbo 1.2.90) : libpng 1.5.13 : libtiff 4.0.3 : zlib 1.2.7 : libwebp 0.3.0\n'

from PIL import Image
import pytesseract

#如果PATH中没有tesseract可执行文件，请指定tesseract路径
pytesseract.pytesseract.tesseract_cmd='C:\Program Files (x86)\Tesseract-OCR\\tesseract.exe'

#打印识别的图像的字符串
print(pytesseract.image_to_string(Image.open('test.png')))

#指定语言识别图像字符串,eng为英语
print(pytesseract.image_to_string(Image.open('test-european.jpg'), lang='eng'))

#获取图像边界框
print(pytesseract.image_to_boxes(Image.open('test.png')))

#获取包含边界框，置信度，行和页码的详细数据
print(pytesseract.image_to_data(Image.open('test.png')))

#获取方向和脚本检测
print(pytesseract.image_to_osd(Image.open('test.png'))

from PIL import Image
import pytesseract

im = Image.open('66.png')
#二值化图像传入图像和阈值
def erzhihua(image,threshold):
  ''':type image:Image.Image'''
  image=image.convert('L')
  table=[]
  for i in range(256):
    if i < threshold:
      table.append(0)
    else:
      table.append(1)
  return image.point(table,'1')
image=erzhihua(im,127)
image.show()
result=pytesseract.image_to_string(image,lang='eng')
print(result)

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time  : 2018/7/13 8:58
# @Author : Py.qi
# @File  : login.py
# @Software: PyCharm
from selenium import webdriver
from selenium.common.exceptions import TimeoutException,WebDriverException
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.remote.webelement import WebElement
from io import BytesIO
from PIL import Image
import pytesseract
import time

user='zhang'
password='123'
url='http://10.0.0.200'
driver=webdriver.Chrome()
wait=WebDriverWait(driver,10)

#识别验证码
def acker(content):
  im_erzhihua=erzhihua(content,127)
  result=pytesseract.image_to_string(im_erzhihua,lang='eng')
  return result

#验证码二值化
def erzhihua(image,threshold):
  ''':type image:Image.Image'''
  image=image.convert('L')
  table=[]
  for i in range(256):
    if i < threshold:
      table.append(0)
    else:
      table.append(1)
  return image.point(table,'1')

#自动登陆
def login():
  try:
    driver.get(url)
    #获取用户输入框
    input=wait.until(EC.presence_of_element_located((By.CSS_SELECTOR,'#loginname'))) #type:WebElement
    input.clear()
    #发送用户名
    input.send_keys(user)
    #获取密码框
    inpass=wait.until(EC.presence_of_element_located((By.CSS_SELECTOR,'#password'))) #type:WebElement
    inpass.clear()
    #发送密码
    inpass.send_keys(password)
    #获取验证输入框
    yanzheng=wait.until(EC.presence_of_element_located((By.CSS_SELECTOR,'#code'))) #type:WebElement
    #获取验证码在画布中的位置
    codeimg=wait.until(EC.presence_of_element_located((By.CSS_SELECTOR,'#codeImg'))) #type:WebElement
    image_location = codeimg.location
    #截取页面图像并截取掩码码区域图像
    image=driver.get_screenshot_as_png()
    im=Image.open(BytesIO(image))
    imag_code=im.crop((image_location['x'],image_location['y'],488,473))
    #输入验证码并登陆
    yanzheng.clear()
    yanzheng.send_keys(acker(imag_code))
    time.sleep(2)
    yanzheng.send_keys(Keys.ENTER)
  except TimeoutException as e:
    print('timeout:',e)
  except WebDriverException as e:
    print('webdriver error:',e)
if __name__ == '__main__':
  login()