Handwritten character translator using fuzzy logic

Image analysis – Pattern recognition – Unconstrained handwriting

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382224, G06K 900

Patent

active

058022040

ABSTRACT:
An arrangement (apparatus and method) for translating pixel images representing characters or symbols into characters using fuzzy logic processing. The disclosed character translator uses two-dimensional membership functions having a center corresponding to a pixel of a feature mask representing a primitive element. A plurality of three-dimensional fuzzifiers output normalized feature mask errors corresponding to a distance error between the pixels of a feature mask and the pixels of the scanned image. The normalized feature mask errors are compared in accordance with a feature mask sequence corresponding to a known character to obtain a normalized character score. The mask sequence having the lowest normalized character score is deemed the most likely candidate as a recognized character of the scanned image. The disclosed character translator may be implemented as a low-cost serial device, or as a high-speed parallel-processing device, which may be multiplexed with other character translation devices using an expansion bus interface.

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