Pre-processing Method for Face Recognition Robust to Lightness Variation; Facial Symmetry

조명 변화에 강건한 얼굴 인식의 전처리 기법; 얼굴의 대칭성

  • 권혁봉 (김포대학 전자정보계열) ;
  • 김영길 (충북대학교 정보통신공학과) ;
  • 장언동 (충북대학교 정보통신공학과) ;
  • 송영준 (㈜프리즘테크)
  • Published : 2004.12.01


In this paper. we propose a shaded recognition method using symmetric feature. When the existing PCA is applied to shaded face images, the recognition rate is decreased. To improve the recognition rate, we use facial symmetry. If the difference of light and shade is greater than a threshold value, we make a mirror image by replacing the dark side with the bright side symmetrically Then the mirror image is compared with a query image. We compare the performance of the proposed algorithm with the existing algorithms such as PCA, PCA without three eigenfaces and histogram equalization methods. The recognition rate of our method shows $98.889\%$ with the excellent result.


Face recognition;PCA;Symmetric;Lighting