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International Conference on Knowledge-Based and Intelligent Information and Engineering Systems

KES 2003: Knowledge-Based Intelligent Information and Engineering Systems pp 300–309Cite as

A Study of the Compression Method for a Reference Character Dictionary Used for On-line Character Recognition

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2773))

Abstract

This paper reports on a compression method for a reference character dictionary used for on-line Chinese handwriting character recognition, which is based on pattern matching between input and reference patterns. First, one reference pattern for each category is generated from the training data. Second, the reference dictionary is optimized by using the Generalized Learning Vector Quantization (GLVQ) algorithm. Third, the reference dictionaries are compressed to approximately one tenth of the original data using Vector Quantization with the K-means clustering algorithm. Then, the compressed reference dictionaries are again optimized by the GLVQ algorithm. Experimental results for Chinese character recognition show that the dictionary can be successfully compressed without decreasing the recognition rate, and the calculation time of distance between strokes can be reduced by a factor of approximately five.

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Author information

Authors and Affiliations

  1. Department of Computer Software, University of Aizu, Aizu-Wakamatsu City, Fukushima, 965-8580, Japan

    Jungpil Shin

Authors
  1. Jungpil Shin
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Editor information

Editors and Affiliations

  1. Computing Laboratory, Oxford University, Parks Road, OXI 3QD, United Kingdom

    Vasile Palade

  2. Intelligent Systems and Signal Processing Labs, Moulsecoomb, University of Brighton, BN2 4GJ, Brighton, United Kingdom

    Robert J. Howlett

  3. Knowledge-Based Intelligent Engineering Systems Centre, Mawson Lakes, University of South Australia, 5095, Adelaide, SA, Australia

    Lakhmi Jain

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© 2003 Springer-Verlag Berlin Heidelberg

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Shin, J. (2003). A Study of the Compression Method for a Reference Character Dictionary Used for On-line Character Recognition. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45224-9_43

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  • DOI: https://doi.org/10.1007/978-3-540-45224-9_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40803-1

  • Online ISBN: 978-3-540-45224-9

  • eBook Packages: Springer Book Archive

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