Method and apparatus for on-line handwriting recognition based o

Details Method and apparatus for on-line handwriting recognition based o Method and apparatus for on-line handwriting recognition based o

1997-10-03

2000-07-04

Tran, Phuoc

Image analysis

Pattern recognition

On-line recognition of handwritten characters

382186, 382188, 382228, 382229, G06K 900, G06K 918, G06K 962, G06K 972

Patent

active

060849851

ABSTRACT:
A method for on-line handwriting recognition is based on a hidden Markov model and implies the following steps: sensing real-time at least an instantaneous write position of the handwriting, deriving from the handwriting a time-conforming string of segments each associated to a handwriting feature vector, matching the time-conforming string to various example strings from a data base pertaining to the handwriting, and selecting from the example strings a best-matching recognition string through hidden-Markov processing, or rejecting the handwriting as unrecognized. In particular, the feature vectors are based on local observations derived from a single segment, as well as on compacted observations derived from time-sequential segments.

REFERENCES:
patent: 5621809 (1997-04-01), Bellegarda et al.
Krishna S. Nathan et al, "Real-Time On-Line Unconstrained Handwriting Recognition Using Statistical Methods", pp. 2619-2622, 1995 IEEE.
Eveline J. Bellegarda et al, "A Fast Statistical Mixture Algorithm for On-Line Handwriting Recognition", pp. 1227-1233, IIIE Transactions on Pattern Analysis and Machine Intelligence, vol. 16, No. 12, Dec. 1994.
M. Schenkel et al, On-Line Cursive Script Recognition Using Time-Delay Neural Networks and Hidden Markov Models, pp. 215-223, 1995 Machine Vision and Applications.
"Application of Hidden Markov Models for Signature Vierification" L. Yang et al, Pattern Recognition, vol. 28, No. 2, Mar. 1995.

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