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

Bei Jing Chen, Hua Zhong Shu, Gang Chen, Jun Ge · Applied Mechanics and Materials · 2013

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.

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