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Hidden Markov models for character recognition

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2 Author(s)
Vlontzos, J.A. ; Siemens Corp. Res., Cholargos, Greece ; Kung, S.Y.

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

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Image Processing, IEEE Transactions on  (Volume:1 ,  Issue: 4 )