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Hidden Markov models for character recognition

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2 Author(s)
Vlontzos, J.A. ; Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA ; Kung, S.Y.

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

Published in:

Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on

Date of Conference:

23-26 May 1989