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Proceedings Paper

Clustering and Classification for Chinese Character Recognition
Author(s): Bor-Shenn Jeng; San-Wei Sun; Chun-Jen Lee; Keh-Hwa Shya; Fu-Hua Liu; Tieh-Min Wu
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Paper Abstract

The paper evaluates the applicability and results of several clustering and classification algorithms for optical Chinese character recognition. Emphases are laid on k-means clustering algorithms, Neural Nets classification, and Hidden Markov Model matching scheme. Some experimental results of the algorithms are also presented.

Paper Details

Date Published: 1 November 1989
PDF: 8 pages
Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970141
Show Author Affiliations
Bor-Shenn Jeng, National Central University (Taiwan)
San-Wei Sun, Ministry of Communications (Taiwan)
Chun-Jen Lee, Ministry of Communications (Taiwan)
Keh-Hwa Shya, Ministry of Communications (Taiwan)
Fu-Hua Liu, Ministry of Communications (Taiwan)
Tieh-Min Wu, Ministry of Communications (Taiwan)


Published in SPIE Proceedings Vol. 1199:
Visual Communications and Image Processing IV
William A. Pearlman, Editor(s)

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