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This article introduces the knowledge of "how to use the pytesseract library of python". Many people will encounter such a dilemma in the operation of actual cases, so let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

Description

1. Pytesseract needs to be used with the local tesseract-ocr.exe file.

2. It should be noted that the Chinese package must be selected during installation, and only English identification is supported by default.

Install the command pip install pytesseract instance import pytesseractfrom PIL import Imagetext = pytesseract.image_to_string (Image.open (r "d:Desktop39DEE621-40EA-4ad1-90CC-79EB51D39347.png")) print (text)

Recognition result output

Using Tesseract OCR with Python# import the necessary packagesfrom PIL import Imageimport pytesseractimport ergperseimport cv2import os # construct the argument parse and parse the argumentsap = argparse.ArgunentParser () ap.add_argument ("- I", "- image", required-True,help= "path to input image to be OCR" d ") ap.add_argument ("-p ","-preprocess ", typesstr, default=" thresh ", helpe" type of preprocessing to be done ") args = vars (ap.parse_args ())

Instance expansion:

Python uses pytesseract library to recognize picture text

Prepare for

First install the Tesseract client on the machine, and then install the pytesseract library:

Pip install pytesseract

Install PIL if you haven't installed it, because the first parameter called is returned by the Image class:

Pip install PILLOW

Example

Import pytesseractfrom PIL import Imageimg = Image.open ("D://aa.jpg") text = pytesseract.image_to_string (img,) print (text) "how to use python's pytesseract Library" ends here. Thank you for reading. If you want to know more about the industry, you can follow the website, the editor will output more high-quality practical articles for you!

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