System and method for automatic subcharacter unit and lexicon ge

Image analysis – Pattern recognition – Context analysis or word recognition

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382198, G06K 972

Patent

active

057579644

ABSTRACT:
A system for automatic subcharacter unit and lexicon generation for handwriting recognition comprises a processing unit, a handwriting input device, and a memory wherein a segmentation unit, a subcharacter generation unit, a lexicon unit, and a modeling unit reside. The segmentation unit generates feature vectors corresponding to sample characters. The subcharacter generation unit clusters feature vectors and assigns each feature vector associated with a given cluster an identical label. The lexicon unit constructs a lexical graph for each character in a character set. The modeling unit generates a Hidden Markov Model for each set of identically-labeled feature vectors. After a first set of lexical graphs and Hidden Markov Models have been created, the subcharacter generation unit determines for each feature vector which Hidden Markov Model produces a highest likelihood value. The subcharacter generation unit relabels each feature vector according to the highest likelihood value, after which the lexicon unit and the modeling unit generate a new set of lexical graphs and a new set of Hidden Markov models, respectively. The feature vector relabeling, lexicon generation, and Hidden Markov Model generation are performed iteratively until a convergence criterion is met. The final set of Hidden Markov Model model parameters provide a set of subcharacter units for handwriting recognition, where the subcharacter units are derived from information inherent in the sample characters themselves.

REFERENCES:
patent: 4979227 (1990-12-01), Mittelbach et al.
patent: 5392363 (1995-02-01), Fujisaki et al.
Breiman et al "Classification and Regression Tree" (1984), pp. 18-27, 59-66, Wadsworth & Brooks/Cole Advanced Book & Software.
"Discrete Parameter System for Automatic Handwriting Recognition," IBM Technical Bulletin, vol. 37, No. 02A, Feb. 1994, pp. 531-532.
Lee et al, A Segment Model Based Approach To Speech Recognition, 1988, 501-04.
Kundu & Bahl, Recognition of Handwritten Script: A Hidden Markov Model Based Approach, 1988, 928-31.

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