Clustering and Classification for Chinese Character Recognition

Bor-Shenn Jeng; San-Wei Sun; Chun-Jen Lee; Keh-Hwa Shya; Fu-Hua Liu; Tieh-Min Wu

doi:10.1117/12.970141

1 November 1989 Clustering and Classification for Chinese Character Recognition

Bor-Shenn Jeng, San-Wei Sun, Chun-Jen Lee, Keh-Hwa Shya, Fu-Hua Liu, Tieh-Min Wu

Proceedings Volume 1199, Visual Communications and Image Processing IV; (1989) https://doi.org/10.1117/12.970141
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

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.

Citation Download Citation

Bor-Shenn Jeng, San-Wei Sun, Chun-Jen Lee, Keh-Hwa Shya, Fu-Hua Liu, and Tieh-Min Wu "Clustering and Classification for Chinese Character Recognition", Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); https://doi.org/10.1117/12.970141

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