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Best of Machine Learning
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OCR (Optical Character Recognition, Optical Character Recognition) checks characters printed on paper with electronic devices, determines their shape by detecting dark and light patterns, and then uses character recognition methods to translate the forms into computer text. The text in a paper document is optically converted into a black and white dot-matrix image file for printed characters. The text in the image is transformed into a text format through the recognition software to edit further. The leading indicators to measure the performance of an OCR system are rejection rate, misrecognition rate, recognition speed, user-friendliness, product stability, ease of use and feasibility, etc.
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