Color Face Recognition Based on Quaternion Zernike Moment Invariants and Quaternion BP Neural Network

Abstract:

As an active research topic, many algorithms have been presented for face recognition. However, they mainly utilize the monochromatic intensity information. Among a few color face recognition methods, most of them treat the three channels separately. In this paper, a color face image is treated in a holistic manner by using the quaternion theory. We then propose a new algorithm for color face recognition, which uses the quaternion Zernike moment invariants and the quaternion BP neural network for the color face recognition. Experimental results on the Collection of Facial Images (Grimace) database, including major expression variation and considerable variation in head turn and tilt, show that the proposed method is better than the conventional ones in recognition rate.

• Periodical: Applied Mechanics and Materials (Volumes 446-447)
• Pages: 1034-1039
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.446-447.1034
• Online since: November 2013
• Authors: Bei Jing Chen, Hua Zhong Shu, Gang Chen, Jun Ge
• Keywords: Color Face Recognition, Moment Invariants, Quaternion BP Neural Network, Quaternion Zernike Moment

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