Hidden Markov models for character recognition

13 January 2003

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

No. 15206149,p. 1719-1722
https://doi.org/10.1109/icassp.1989.266780

Abstract

The authors present a hierarchical system for character recognition with hidden Markov model knowledge sources that solve both the context sensitivity problem and the character instantiation problem. The system achieves 97 to 99% accuracy using a two-level architecture and has been implemented using a systolic array, thus permitting real-time (1 ms per character) multifont and multisize printed character recognition as well as handwriting recognition.<>

Keywords

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