Hidden Markov models for character recognition

J. A. Vlontzos; S. Y. Kung

Hidden Markov models for character recognition

J. A. Vlontzos, S. Y. Kung

Research output: Contribution to journal › Conference article › peer-review

Abstract

The authors present a hierachical system for character recognition with hidden Markov model knowledge sources that solve both the context sensitivity problem and the character instantiation problem. 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 language	English (US)
Pages (from-to)	1719-1722
Number of pages	4
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	3
State	Published - 1989
Externally published	Yes
Event	1989 International Conference on Acoustics, Speech, and Signal Processing - Glasgow, Scotland Duration: May 23 1989 → May 26 1989

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Electrical and Electronic Engineering

Cite this

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title = "Hidden Markov models for character recognition",

abstract = "The authors present a hierachical system for character recognition with hidden Markov model knowledge sources that solve both the context sensitivity problem and the character instantiation problem. 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.",

author = "Vlontzos, \{J. A.\} and Kung, \{S. Y.\}",

year = "1989",

language = "English (US)",

volume = "3",

pages = "1719--1722",

journal = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

issn = "0736-7791",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "1989 International Conference on Acoustics, Speech, and Signal Processing ; Conference date: 23-05-1989 Through 26-05-1989",

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T1 - Hidden Markov models for character recognition

AU - Vlontzos, J. A.

AU - Kung, S. Y.

PY - 1989

Y1 - 1989

N2 - The authors present a hierachical system for character recognition with hidden Markov model knowledge sources that solve both the context sensitivity problem and the character instantiation problem. 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.

AB - The authors present a hierachical system for character recognition with hidden Markov model knowledge sources that solve both the context sensitivity problem and the character instantiation problem. 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.

UR - https://www.scopus.com/pages/publications/0024945069

UR - https://www.scopus.com/inward/citedby.url?scp=0024945069&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0024945069

SN - 0736-7791

VL - 3

SP - 1719

EP - 1722

JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

JF - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

T2 - 1989 International Conference on Acoustics, Speech, and Signal Processing

Y2 - 23 May 1989 through 26 May 1989

ER -

Hidden Markov models for character recognition

Abstract

All Science Journal Classification (ASJC) codes

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