Journal of the Institute of Electronics Engineers of Korea SP (대한전자공학회논문지SP)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Recognition of Numeric Characters in License Plate based on Independent Component Analysis

독립성분 분석을 이용한 번호판 숫자 인식

  • Jeong, Byeong-Jun (Dept. of Information and Telecommunication Eng., University of Incheon) ;
  • Kang, Hyun-Chul (Dept. of Information and Telecommunication Eng., University of Incheon)
  • 정병준 (인천대학교 정보통신공학과) ;
  • 강현철 (인천대학교 정보통신공학과)
  • Published : 2009.03.25
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Abstract

This paper presents an enhanced hybrid model based on Independent Component Analysis(ICA) in order to features of numeric characters in license plates. ICA which is used only in high dimensional statistical features doesn't consider statistical features in low dimension and correlation between numeric characters. To overcome the drawbacks of ICA, we propose an improved ICA with the hybrid model using both Principle Component Analysis(PCA) and Linear Discriminant Analysis(LDA). Experiment results show that the proposed model has a superior performance in feature extraction and recognition compared with ICA only as well as other hybrid models.

본 논문에서는 자동차 번호판 숫자의 특징을 추출하기 위해 강화된 독립성분분석(independent component analysis)의 혼합모델을 제안한다 독립성분분석은 고차 통계적 특성만을 이용하기 때문에 고차 통계적 특성과 숫자 종류별 상관관계에 대한 특성을 고려하지 못한다. 이러한 독립성분분석의 한계를 극복하기 위해, 본 논문에서는 주성분분석(principle component analysis)과 선형판별분석(linear discriminant analysis)을 조합한 혼합 모델 형태의 독립성분분석을 제안한다. 실험 결과, 제안된 혼합 모델은 독립성분분석이나 다른 혼합 모델들보다 특징 추출과 인식에서 우수한 성능을 보임을 확인하였다.

Keywords

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