Method and apparatus for DP matching using multiple templates

Image analysis – Histogram processing – For setting a threshold

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382 30, 382 38, G06K 968

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050671669

ABSTRACT:
A pattern recognition method and apparatus using dynamic programming in which an input sequence of labels is matched to a set of candidate templates (candidate reference label sequences). The set of candidate reference label sequences is grouped into subsets, where each reference label sequence in a subset has a common root reference label subsequence. Using this set organization, a depth-first search is performed to identify a local optimum template and its local optimum match score with the input sequence of labels. Using the local optimum match score as a threshold, the input sequence of labels is matched to root reference label subsequences, eliminating those root reference label subsequences having match scores above the threshold. Surviving root reference label subsequences having match scores below the threshold remain recognition candidates, and are further investigated.

REFERENCES:
patent: 3979722 (1976-09-01), Sakoe
patent: 4467437 (1984-08-01), Tsuruta et al.
patent: 4882756 (1989-11-01), Watari
Ney, H., et al. "A Data Driven Organization of the Dynamic Programming Beam Search for Continuous Speech Recognition", Proc. ICASSP 87, pp. 833-836, 1987.
Sakoe, H., "A Generalization of Dynamic Programming Based Pattern Matching Algorithm Stack DP-Matching", Transactions of the Committee on Speech Research, The Acoustic Society of Japan, p. S83-23, 1983.
Sakoe, H., "A Generalized Two-Level DP-Matching Algorithm for Continuous Speech Recognition", Transactions of the IECE of Japan, vol. E65, No. 11, pp. 649-656, Nov. 1982.

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