DocumentCode
867064
Title
Hidden Markov models for character recognition
Author
Vlontzos, J.A. ; Kung, S.Y.
Author_Institution
Siemens Corp. Res., Cholargos, Greece
Volume
1
Issue
4
fYear
1992
fDate
10/1/1992 12:00:00 AM
Firstpage
539
Lastpage
543
Abstract
A hierarchical system for character recognition with hidden Markov model knowledge sources which solve both the context sensitivity problem and the character instantiation problem is presented. The system achieves 97-99% 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
character recognition; hidden Markov models; systolic arrays; character instantiation problem; character recognition; context sensitivity problem; handwriting recognition; hidden Markov model knowledge sources; hierarchical system; multifont character recognition; multisize printed character recognition; systolic array; two-level architecture; Character recognition; Circuits; Filters; Hidden Markov models; Notice of Violation; Signal processing; Speech processing; Speech recognition; Statistics; Stochastic processes;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/83.199925
Filename
199925
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