U.S. flag

An official website of the United States government, Department of Justice.

A Hybrid Color and Frequency Features Method for Face Recognition

NCJ Number
IEEE Transactions on Image Processing Volume: 17 Issue: 10 Dated: Oct 2008 Pages: 1975-1980
Date Published
October 2008
7 pages

This paper presents a novel hybrid Color and Frequency Features (CFF) method for 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. 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 from the real part, the imaginary part, and the magnitude of the R image in the frequency domain. The complementary features are then fused by means of concatenation at the feature level to derive similarity scores for classification. The complementary feature extraction and feature level fusion procedure applies to the I and Q component images as well. Experiments on the Face Recognition Grand Challenge (FRGC) version 2 Experiment 4 show that: i) the hybrid color space improves face recognition performance significantly, and ii) the complementary color and frequency features further improve face recognition performance. (Published abstract provided)

Date Published: October 1, 2008