Tesserocr module using the pytesseract

1.tesserocr use

# From the document identification image characters 
the In [. 7]: tesserocr.file_to_text ( ' image.png ' ) 
Out [ . 7]: ' Python3WebSpider \ n-\ n- ' 

# view tesseract installed language pack 
the In [. 8 ]: tesserocr.get_languages ( ) 
Out [ . 8]: ( ' / usr / Share / Tesseract / tessdata / ' , [ ' ENG ' ]) 

# from the picture data identifying glyphs 
the In [. 9 ]: tesserocr.image_to_text (IM) 
Out [ . 9]: ' Python3WebSpider \ n-\ n- ' 

# version information 
the 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'

2.pytesseract use

Features:

get_tesseract_version return Tesseract version installed on your system.
image_to_string the Tesseract OCR results on the running string returned to the image
image_to_boxes returns a result of the recognized character and frame boundary
image_to_data returns a block boundary, and other information about the results of confidence. Need Tesseract 3.05+. For more information, please see the Tesseract TSV document
image_to_osd return results that contain information about the direction and script detection.

parameter:

image_to_data(image, lang=None, config='', nice=0, output_type=Output.STRING)

image object image object
lang String, Tesseract language code string
config String to string any other configuration, for example:config='--psm 6'
nice Integer modify processor priority Tesseract run. Windows does not support. Nice adjust the advantages similar to the unix process.
output_type class attribute specifies the type of the output, by default string. For a complete list of all supported types, check pytesseract.Output class definition.

from the PIL Import Image
 Import pytesseract 

# If PATH tesseract not executable, specify the path tesseract 
pytesseract.pytesseract.tesseract_cmd = ' C: \ Program Files (the x86) \ \\ tesseract.exe the OCR-Tesseract ' 

# print image recognition string 
Print (pytesseract.image_to_string (Image.open ( ' test.png ' ))) 

# specified language identification character string image, eng English 
Print (pytesseract.image_to_string (Image.open ( ' Test-european.jpg ' ) , lang = ' ENG ' )) 

# Get bounding box 
Print (pytesseract.image_to_boxes (Image.open (' Test.png ' ))) 

# Gets the bounding box, confidence, and page detailed data line 
Print (pytesseract.image_to_data (Image.open ( ' test.png ' ))) 

# fetch direction and script detects 
Print (pytesseract .image_to_osd (Image.open ( ' test.png ' ))

Simple image recognition application

Usually authentication image processing, the image required by gradation processing, increasing recognizable image binarized text, the following is a simple image recognition processing codes, codes in case of an image such as an intermediate complex with multiple points scribe lines of the same size code word needs to be Jo cutting and other operations, but its recognition of only about 30 percent, so you have another think of another way to bypass validation

from the PIL Import Image
 Import pytesseract 

IM = Image.open ( ' 66.png ' )
 # binarized image and the threshold image passed 
DEF erzhihua (Image, threshold):
     '' ' : Image type: Image.Image ' '' 
    Image image.convert = ( ' L ' ) 
    Table = []
     for I in Range (256 ):
         IF I <   threshold: 
            table.append (0) 
        the 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)

Analog automatic login identification codes:

#!/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 ' ) 

# automatic landing 
DEF Login ():
     the try : 
        driver.get (URL) 
        # get user input box 
        input = wait.until (EC.presence_of_element_located ((By .CSS_SELECTOR, ' #loginname ' ))) # type: WebElement 
        input.clear ()
         # sends the user name 
        input.send_keys (user)
         # obtain the password box 
        inpass = wait.until (EC.presence_of_element_located ((By.CSS_SELECTOR, ' # password '))) # Type: WebElement 
        inpass.clear ()
         # password is sent 
        inpass.send_keys (password)
         # get a verification input box 
        yanzheng = wait.until (EC.presence_of_element_located ((By.CSS_SELECTOR, ' #code ' ))) # type : WebElement 
        # Get codes positions on the canvas 
        codeimg = wait.until (EC.presence_of_element_located ((By.CSS_SELECTOR, ' #codeImg ' ))) # type: WebElement 
        IMAGE_LOCATION = codeimg.location
         # intercept page image and mask taken code area image 
        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()

Original: https://www.cnblogs.com/-qing-/p/11027821.html

Tesserocr module using the pytesseract

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