Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Study on Implementation of a Handwritten-Character Recognition System in a PDA Using a Neural Hardware

신경망 하드웨어를 이용한 PDA 펜입력 인식시스템의 구현 연구

  • Kim, Kwang-Hyun (Department of Electronics Engineering, Chonnam National University) ;
  • Kang, Deung-Gu (Department of Electronics Engineering, Chonnam National University) ;
  • Lee, Tae-Won (Department of Electronics Engineering, Chonnam National University) ;
  • Park, Jin (Department of Electronics Engineering, Chonnam National University) ;
  • Kim, Young-Chul (Department of Electronics Engineering, Chonnam National University)
  • 김광현 (전남대학교 전자공학과) ;
  • 강등구 (전남대학교 전자공학과) ;
  • 이태원 (전남대학교 전자공학과) ;
  • 박진 (전남대학교 전자공학과) ;
  • 김영철 (전남대학교 전자공학과)
  • Published : 1999.06.01
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Abstract

In this paper, a research is focused on implementation of the handwritten Korean-character recognition system using a neural coprocessor for PDA application. The proposed coprocessor is composed of a digital neural network called DMNN and a RISC-based dedicated controller in order to achieve high speed as well as compactness. Two neural networks are used for recognition, one for stroke classification out of extended 11 strokes and the other for grapheme classification. Our experimental result shows that the successful recognition rate of 92.1% over 3,000 characters written by 10 persons can be obtained. Moreover, it can be improved to 95.3% when four candidates are considered. The design verification of tile proposed neural coprocessor is conducted using the ASIC emulator for further hardware implementation.

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