A New Knowledge Driven, Omnifont, Multiline OCR Process
This paper describes a new knowledge-driven, multiline, omnifont, feature extraction OCR process. A new representation of the alphabet knowledge allows usage of a limited set of rules when building a character description, disregarding particularities of font style and size, and directs the recognition process to the creation of a specific limited set of hypotheses, and their consequent test and verification. The process, although tested mostly with printed characters, was designed with the possibility of extension to handprinted and handwritten characters.
KeywordsPoint Class Break Character Handwritten Character Alphabet Knowledge Vertex Class
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