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In this tutorial, the focus is on Optical Character Recognition (OCR), a technology that transforms printed text into digital format. Due to the vast array of fonts and writing styles, OCR presents challenges. Before selecting an OCR algorithm, the image must be pre-processed: this includes straightening the document, removing speckles, and converting it from color to a binary image (black and white). The tutorial discusses two main approaches for character recognition: feature detection, which analyzes lines and strokes to identify characters, and pattern recognition, which looks for rows of white pixels between rows of black pixels. Finally, the image of characters is converted into a binary matrix, where white pixels are represented as zeros and black pixels as ones, followed by the use of the distance formula to facilitate recognition.
