article

Off-line recognition of handwritten Korean and alphanumeric characters using hidden Markov models

Authors:

Rae-Hong ParkAuthors Info & Claims

Pattern Recognition, Volume 29, Issue 5

Pages 845 - 858

https://doi.org/10.1016/0031-3203(95)00124-7

Published: 01 May 1996 Publication History

Abstract

This paper proposes a recognition system of constrained Handwritten Hangul (Korean character) and alphanumeric characters using discrete hidden Markov models (HMMs). The HMM process encodes the distortion and similarity among patterns of a class through a doubly stochastic approach. Characterizing the statistical properties of characters using selected features, a recognition system can be implemented by absorbing possible variations in the form. Hangul shapes are classified into six types by fuzzy according to their effectiveness in each class. The constrained alphanumerics recognition is also performed using the same features employed in Hangul recogndition. The forward-backward, Viterbi and Baum-Welch reestimation algorithms are used for training and recognition of handwritten Hangul and alphanumeric characters. The simulation result shows that the proposed method recognizes effectively handwritten Korean charaters and alphanumerics

References

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Digital Library

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A tutorial on hidden Markov models and selected applications in speech recognition. In: Proc. IEEE, 77. pp. 257-286.

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Cited By

Khorsheed M(2007)HMM-based system for recognizing words in historical Arabic manuscriptInternational Journal of Robotics and Automation10.5555/1739839.173984322:4(294-303)Online publication date: 1-Sep-2007
https://dl.acm.org/doi/10.5555/1739839.1739843
Natarajan PSaleem SPrasad RMacRostie ESubramanian K(2006)Multi-lingual offline handwriting recognition using hidden Markov modelsProceedings of the 2006 conference on Arabic and Chinese handwriting recognition10.5555/1792262.1792276(231-250)Online publication date: 27-Sep-2006
https://dl.acm.org/doi/10.5555/1792262.1792276
Khorsheed M(2006)Recognising cursive Arabic text using a speech recognition systemProceedings of the 7th WSEAS International Conference on Automation & Information10.5555/1362937.1362960(122-125)Online publication date: 13-Jun-2006
https://dl.acm.org/doi/10.5555/1362937.1362960
Show More Cited By

Off-line recognition of handwritten Korean and alphanumeric characters using hidden Markov models
1. Applied computing
  1. Document management and text processing
    1. Document capture
2. Computing methodologies
  1. Machine learning

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Published In

cover image Pattern Recognition

Pattern Recognition Volume 29, Issue 5

May, 1996

164 pages

ISSN:0031-3203

Issue’s Table of Contents

Copyright © Pattern Recognition Society © 1996.

Publisher

Elsevier Science Inc.

United States

Publication History

Published: 01 May 1996

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Cited By

Khorsheed M(2007)HMM-based system for recognizing words in historical Arabic manuscriptInternational Journal of Robotics and Automation10.5555/1739839.173984322:4(294-303)Online publication date: 1-Sep-2007
https://dl.acm.org/doi/10.5555/1739839.1739843
Natarajan PSaleem SPrasad RMacRostie ESubramanian K(2006)Multi-lingual offline handwriting recognition using hidden Markov modelsProceedings of the 2006 conference on Arabic and Chinese handwriting recognition10.5555/1792262.1792276(231-250)Online publication date: 27-Sep-2006
https://dl.acm.org/doi/10.5555/1792262.1792276
Khorsheed M(2006)Recognising cursive Arabic text using a speech recognition systemProceedings of the 7th WSEAS International Conference on Automation & Information10.5555/1362937.1362960(122-125)Online publication date: 13-Jun-2006
https://dl.acm.org/doi/10.5555/1362937.1362960
Khorsheed M(2006)Mono-font cursive arabic text recognition using speech recognition systemProceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition10.1007/11815921_83(755-763)Online publication date: 17-Aug-2006
https://dl.acm.org/doi/10.1007/11815921_83
Natajan PLu ZSchwartz RBazzi IMakhoul J(2001)Multilingual machine printed OCRHidden Markov models10.5555/505741.505744(43-63)Online publication date: 1-Jun-2001
https://dl.acm.org/doi/10.5555/505741.505744

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