Local color vector binary pattern for face recognition
This paper proposes local color vector binary pattern (LCVBP) as a new color based face descriptor for face recognition (FR). In the proposed LCVBP, color pixel pattern of different spectral images is extracted as discriminative information. Further, to maximize a complementary effect taken from different color channels, color angle pattern between a pair of different spectral images is incorporated into the creation of LCVBP. Experimental results on three public databases (CMU-PIE, XM2VTSDB, and Color FERET) show that the proposed color texture feature is able to significantly improve FR performance, compared to the conventional grayscale texture features including Gabor wavelet and Local Binary Pattern (LBP). In particular, the proposed LCVBP is able to provide excellent FR performance for face images taken under severe illumination variation.