title: Hidden Markov models for character recognition.
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.
authors.affiliation: Siemens Corp. Res., Cholargos.
authors.forename: J A
authors.initials: JA
authors.lastname: Vlontzos
authors.forename: S Y
authors.initials: SY
authors.lastname: Kung