Title :
Wavelet-based Illumination Compensation for Face Recognition using Eigenface Method
Author :
Wang, Wei ; Song, Jiatao ; Yang, Zhongxiu ; Chi, Zheru
Author_Institution :
Coll. of Electron. & Inf. Eng., Ningbo Univ. of Technol.
Abstract :
Eigenface is an effective human face recognition technique. However its performance is affected to some extent by lighting conditions in capturing face images. In this paper, a new algorithm for the illumination compensation of face images based on Wavelet transform is proposed. By discarding the low frequency components of a face image and reconstructing the image using the high frequency components only, the influence of lightings on face image recognition can be greatly reduced. Experimental results on Yale face database and our own face database show that the recognition rate of the eigenface method on the lighting compensated images is increased significantly
Keywords :
eigenvalues and eigenfunctions; face recognition; image reconstruction; lighting; wavelet transforms; eigenface method; human face recognition; image reconstruction; lighting conditions; wavelet transform; wavelet-based illumination compensation; Educational institutions; Face recognition; Frequency; Humans; Image databases; Image recognition; Image reconstruction; Lighting; Wavelet analysis; Wavelet transforms; Eigenface; Face recognition; illumination compensation; image processing; wavelet analysis;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1714031
