Interleaved segmental method for handwriting recognition

Image analysis – Pattern recognition – Feature extraction

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382224, G06K 900

Patent

active

058781641

ABSTRACT:
A method of handwriting recognition is provided that combines the efficiency of a point oriented system and the shape information of a segment oriented system in an HMM based handwriting recognition system. The partial segmentation hypotheses obtained using the point oriented features in a conventional Viterbi search are augmented with scores based on segmental shape measurements made on the hypothesized segments. In addition, a method for segmentation of a handwriting sample is accomplished by incorporating a feature to distinguish between continuous and not continuous strokes and influencing the indicated hypothesis score by adding a penalty to the contraindicated hypothesis score.

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Jianying Hu, et al., Invariant Features for HMM Based On-Line Handwriting Recognition; To appear, 8th Int. Conf. on Image Analysis and Processing, Sep. 13-15, Sanremo, Italy 1995. (no page #.).
Jin-Young Ha, et al., Unconstrained Handwritten Word Recognition with Interconnected Hidden Markov Models; IWFHR III, 1993, pp. 455-461. (no place of public.).
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