Detailed explanation of the installation and configuration of the ‘Pytesseract’ Library in Python

Detailed explanation of the installation and configuration of the ‘Pytesseract’ Library in Python ‘Pytesseract’ is a Python class library for the implementation of OCR (OPTICAL Character Recognition, optical character recognition) technology.It can recognize the text in the picture and convert it into a text that is available for computer processing.This article will introduce in detail how to install the "Pytesseract" class library and related configuration. Install the "Pytesseract" class library First, make sure you have installed Python and configure the corresponding environment variables.Next, install the "Pytesseract" class library according to the following steps: 1. Open the command line interface. 2. Use the following command to install the "Pytesseract" library in the command line: pip install pytesseract 3. Waiting for installation, the "Pytesseract" class library is successfully installed in your Python environment. Configure related dependencies The ‘Pytesseract’ Library depends on the Tesseract OCR engine.Therefore, before using the "Pytesseract" class library, you need to install the Tesseract OCR engine and configure it. The following is the steps of installation and configuration of the Tesseract OCR engine under different operating systems: Windows operating system: 1. Visit the official website of Tesseract OCR (https://github.com/ub-mannheim/tesseract/wiki). 2. Find the "Downloads" column in the webpage and click "Windows".Select the latest version of the installation package and download. 3. Run the downloaded installation package and complete the installation according to the guidance of the installer.Install the TESSERACT OCR engine to the default position (generally C: \ Program Files \ Tesseract-OCR). 4. Add the installation directory of the TESSERACT OCR engine to the environment variables of the system.The specific step is to right-click "My Computer" (or "this computer"), select "Properties"-> "Advanced System Settings"-> "Environment variables", find "PATH" under "System variables" and click "Edit"Button, and then add the installation directory of the Tesseract OCR engine to the pop -up window. Linux operating system: 1. Open the terminal and use the following command to install the Tesseract OCR engine: sudo apt install tesseract-ocr 2. After the installation is completed, the Tesseract OCR engine will be automatically configured.Use the following command in the terminal to verify the installation results: tesseract --version Macos operating system: 1. Use the Homebrew command line package manager to install the TESSERACT OCR engine.Run the following command in the terminal: brew install tesseract 2. After the installation is completed, the Tesseract OCR engine will be automatically configured.Use the following command in the terminal to verify the installation results: tesseract --version Write sample code After installing the ‘Pytesseract’ Library and configured the Tesseract OCR engine, you can start using the “Pytesseract’ Library for OCR text recognition.The following is a simple example code: python import pytesseract from PIL import Image # To be recognized image = Image.open('example.png') # Use Pytesseract for OCR recognition text = pytesseract.image_to_string(image, lang='eng') # Output recognition results print(text) Code explanation: 1. First of all, we introduced the "Pytesseract" class library and PIL library, and the Pil library is used to process the picture. 2. Use the `iMage.open ()` function to open a picture to be recognized. The path of the picture can be modified according to the actual situation. 3. Use the `pytesseract.image_to_string () function to perform OCR recognition of the picture. The` Lang` parameter specifies the language to be used, and identifies English.You can choose other languages as needed, or download additional language packs in the system and configure. 4. Finally, output the recognition results through the `Print ()` function. In summary, this article introduces the detailed steps of installing and configuration in Python's installation and configuration of the "Pytesseract" class library, and provide a simple sample code to help readers quickly get started.Through the "Pytesseract" class library, you can easily implement the OCR text recognition function, so as to play a role in text recognition and processing related applications.