Hybrid Color And Frequency Features with Kernel Fisher Analysis Method for Face Recognition
Prakash S. Mohod, Ajay S Chhajed · Computational intelligence · 2012
Face recognition is a challenging task in computer vision and pattern recognition. With the correspondence presents Color and Frequency Features based face recognition. The CFF method, which applies an Enhanced Fisher Model (EFM), extracts the complementary frequency features in a new hybrid color space for improving face recognition performance. A color image in the RGB color space consists of the red, green, and blue component images. The new color space, the RIQ color space, which combines the R component image of the RGB color space and the chromatic components I and Q of the YIQ color space, displays prominent capability for improving face recognition performance due to the complementary characteristics of its component images. The EFM then extracts the complementary features