9/4/2023 0 Comments Scansion short examplesPostprocessingĪfter analysis, the system converts the extracted text data into a computerized file. It then uses these features to find the best match or the nearest neighbor among its various stored glyphs. Feature extractionįeature extraction breaks down or decomposes the glyphs into features such as lines, closed loops, line direction, and line intersections. This method works well with scanned images of documents that have been typed in a known font. Pattern recognition works only if the stored glyph has a similar font and scale to the input glyph. Pattern matching works by isolating a character image, called a glyph, and comparing it with a similarly stored glyph. The two main types of OCR algorithms or software processes that an OCR software uses for text recognition are called pattern matching and feature extraction.
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