Hierarchical system for character recognition

J. A. Vlontzos, S. Y. Kung

Research output: Contribution to journalConference articlepeer-review


A hierarchical system for character recognition with hidden-Markov model knowledge sources that solves both the context-sensitive problem and the character-instantiation problem is presented. The algorithms and the structure of the system are described, and its operation is discussed. The system achieves 97 to 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.

Original languageEnglish (US)
Pages (from-to)1-4
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
StatePublished - 1989
Externally publishedYes
EventIEEE International Symposium on Circuits and Systems 1989, the 22nd ISCAS. Part 1 - Portland, OR, USA
Duration: May 8 1989May 11 1989

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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