Spectral range selection for face recognition under various illuminations

Multipectral imaging and fusion of multispectral images in visible spectrum have been employed and proved to enhance the recognition performance over conventional broad-band images, especially when the illumination changes. In this paper, we further our study toward the recognition performance of a smaller number of spectral band images. Given the illumination, we propose an automated method that specifies the optimal spectral ranges to achieve an improved recognition performance compared with conventional broad-band images. Our discovery can be practically used for a new customized sensor design associated with given illuminations for an improved face recognition performance over conventional broad-band images.

• Type: Conference
• Year: 2008
• Where: ICIP
• Authors: Hong Chang, Yi Yao, Andreas Koschan, Besma R. Abidi, Mongi A. Abidi
• Keywords: Conventional Broad-band Images, Face Recognition Performance, ICIP 2008, Image Processing, Improved Recognition Performance, Optimal Spectral Ranges, Spectral Band Images