Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Face Recognition based on PCA and LDA using Wavelet

웨이블릿을 이용한 PCA와 LDA 기반 얼굴인식

  • Ahn, Hyo-Chang (Dept. of Electronics and Computer Engineering Dankook University) ;
  • Lee, June-Hwan (School of Computer Science, Information & Standard Far East University) ;
  • Rhee, Sang-Burm (Dept. of Electronics and Computer Engineering Dankook University)
  • 안효창 (단국대학교 전자컴퓨터공학과) ;
  • 이준환 (극동대학교 컴퓨터정보표준학부) ;
  • 이상범 (단국대학교 전자컴퓨터공학과)
  • Published : 2006.06.21
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Abstract

Limitations on the Linear Discriminant Analysis (LDA) for face recognition, such as the loss of generalization and the computational infeasibility, are addressed and illustrated for small number of samples. The Principal Component Analysis (PCA) followed by the LDA mapping may be an alternative that can overcome this limitation. We also show that processing time is reduced by wavelet transform.

Keywords