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Using colour local binary pattern features for face recognition

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3 Author(s)
Jae Young Choi ; Image & Video Syst. Lab., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea ; Plataniotis, K.N. ; Yong Man Ro

In this paper, we propose a novel feature representation based on color-based Local Binary Pattern (LBP) texture analysis for face recognition (FR). The proposed method exploits both color and texture discriminative features of a face image for FR purpose. We evaluate the proposed feature using three public face databases: CMU-PIE, Color FERET, and XM2VTSDB. Experimental results show that the results of the proposed feature impressively better than the results of grayscale LBP and color features. In particular, it is shown that the proposed feature is highly robust against severe variations in illumination and spatial resolution.

Published in:

Image Processing (ICIP), 2010 17th IEEE International Conference on

Date of Conference:

26-29 Sept. 2010