Title :
Hidden Markov models for character recognition
Author :
Vlontzos, J.A. ; Kung, S.Y.
Author_Institution :
Siemens Corp. Res., Cholargos, Greece
fDate :
10/1/1992 12:00:00 AM
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;
Journal_Title :
Image Processing, IEEE Transactions on
