Basing on these hypotheses, the program analyzes different variants of breaking of lines into words and words into characters. It advances numerous hypotheses about what this character is. Once the characters have been singled out, the program compares them with a set of pattern images. The lines are divided into words and then - into characters. It divides the page into elements such as blocks of texts, tables, images, etc. First, the program analyzes the structure of document image. Let’s take a look on how FineReader OCR recognizes text. These principles constitute the core of ABBYY FineReader OCR allowing it to replicate natural or human-like recognition. The exact mechanisms that allow humans to recognize objects are yet to be understood, but the three basic principles are already well known by scientists – integrity, purposefulness and adaptability (IPA).
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