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1. PICTURE TEXT RECOGNITION SOFTWARE FOR CHINESE HOW TO
2. PICTURE TEXT RECOGNITION SOFTWARE FOR CHINESE PDF
3. PICTURE TEXT RECOGNITION SOFTWARE FOR CHINESE INSTALL
4. PICTURE TEXT RECOGNITION SOFTWARE FOR CHINESE DOWNLOAD

This function takes in argument an image object and returns the text recognized inside it. After which we passed the image object ( img) to image_to_string() function. After this, we assigned the pytesseract.tesseract_cmd variable the path stored in path_to_tesseract variable (this would be used by the library to find the executable and use it for extraction).

This path is passed to the open() function to create an image object out of our image. Then we defined the image_path variable which contains the path to the image file. Then after we defined the path_to_tesseract variable which contains the path to the executable binary ( tesseract.exe) that we installed in the prerequisite (this path would depend on the location where the binary is installed). For most installations the path would be C:\\Program Files (x86)\\Tesseract-OCR\\tesseract.exe.įirstly we imported the Image module from PIL library (for opening an image) and then pytesseract module from pytesseract library(for text extraction). This path needs to be remembered as it would be utilized later on in the code. During the installation of the aforementioned executable, we would be prompted to specify a path for it. The library ( if used on Windows OS) requires the tesseract.exe binary to be also present for proper installation of the library.

PICTURE TEXT RECOGNITION SOFTWARE FOR CHINESE INSTALL

The library could be installed onto our python environment by executing the following command in the command interpreter of the OS:- pip install pytesseract We would be utilizing python programming language for doing so.įor enabling our python program to have Character recognition capabilities, we would be making use of pytesseract OCR library. In this article, we would learn about extracting text from images. This technique of extracting text from images is generally carried out in work environments where it is certain that the image would be containing text data. This is due to the fact that newer OCR’s are trained by providing them sample data which is ran over a machine learning algorithm. OCR is a field of research in pattern recognition, artificial intelligence and computer vision. Where the digital image is generally an image that contains regions that resemble characters of a language. OCR (Optical Character Recognition) is the process of electronical conversion of Digital images into machine-encoded text.

PICTURE TEXT RECOGNITION SOFTWARE FOR CHINESE HOW TO

PICTURE TEXT RECOGNITION SOFTWARE FOR CHINESE DOWNLOAD

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