Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
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A Recognition System for Multi-Form Korean Characters Based on Hierarchical Temporal Memory

  • Haibao, Nan (Department of Computer Science, GyeongSang National University) ;
  • Bae, Sun-Gap (Department of Computer Science, GyeongSang National University) ;
  • Bae, Jong-Min (Department of Computer Science, GyeongSang National University) ;
  • Kang, Hyun-Syug (Department of Computer Science, GyeongSang National University)
  • Published : 2009.12.30
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Abstract

Traditional character recognition systems usually aim at characters with simple variation. With the development of multimedia technology, printed characters may appear more diversely. Existing recognition technologies can't deal with Hangul recognition effectively in diverse environments. This paper presents a recognition system for multi-form Korean characters called RSMFK, which is based on the model of Hierarchical Temporal Memory (HTM). Our system can effectively recognize the printed Korean characters of different fonts, scales, rotation, noise and background. HTM is a model which simulates the neocortex of human brain to recognize and memorize intelligently. Experimental results show that RSMFK performs a good recognition rate of 97.8% on average, which is proved to be obviously improved over the conventional methods.

Keywords

References

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