Hidden Markov models for character recognition
J.A. Vlontzos, Sun‐Yuan Kung · IEEE Transactions on Image Processing · 1992
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.