In this video, you will learn how to improve the accuracy of optical character recognition (OCR) by preprocessing your images. You will learn about different techniques for image preprocessing, such as noise removal, binarization, and skew correction. By the end of this video, you will be able to write Python code to preprocess your images for OCR.

How to Open an Image with OpenCV: 4:10
01. Invert an Image: 9:47
03: Binarization: 13:33
04: Noise Reduction: 20:40
05: Dilation and Erosion: 28:33
06: Rotation and Deskewing: 35:07
07: Removing Borders: 42:18
08: Missing Borders: 49:09

GitHub Notebook: https://github.com/wjbmattingly/ocr_python_textbook/blob/main/02_02_working%20with%20opencv.ipynb 

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How to Preprocess Images for Text OCR in Python
9.50 GEEK