Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2007.07a
- /
- Pages.275-276
- /
- 2007
Anisotropic based illumination Preprocessing for Face Recognition
얼굴 인식을 위한 Anisotropic smoothing 기반 조명 전처리
- Kim, Sang-Hoon (School of Electronic Engineering, Soongsil University) ;
-
Chung, Sun-Tae
(School of Electronic Engineering, Soongsil University)
;
-
Jung, Sou-Hwan
(School of Electronic Engineering, Soongsil University)
;
- Oh, Du-Sik (A.I. Lab., Hongik University) ;
-
Cho, Seong-Won
(A.I. Lab., Hongik University)
- 김상훈 (숭실대학교 정보통신공학부) ;
-
정선태
(숭실대학교 정보통신공학부)
;
-
정수환
(숭실대학교 정보통신공학부)
;
- 오두식 (홍익대학교 지능정보처리 연구실) ;
-
조성원
(홍익대학교 지능정보처리 연구실)
- Published : 2007.07.11
Abstract
In this paper, we propose an efficient illumination preprocessing algorithm for face recognition. One of the best known illumination preprocessing method, based on anisotropic smoothing, enhances the edge information, but instead deteriorates the contrast of the original image. Our proposed method reduces the deterioration of the contrast while enhancing the edge information, and thus the preprocessed image does not lose features like Gabor features of the original images much.. The effectiveness of the proposed illumination preprocessing method is verified through experiments of face recognition.
Keywords