A study on the discriminating characteristics of Gabor phase-face and an improved method for face recognition

作者：Nouyed, Iqbal; Poon, Bruce^*; Amin, M. Ashraful; Yan, Hong

来源：International Journal of Machine Learning and Cybernetics, 2016, 7(6): 1115-1130.

DOI：10.1007/s13042-015-0440-8

• Human face recognition
• Log-Gabor wavelet
• Gabor phase-face
• Local Gabor binary pattern
• Weighted voting
• Face authentication

In this paper, characteristics of different Gabor phase based facial feature representations are studied for the face recognition problem. Experiments show that filter responses acquired from larger scales show higher discriminating ability. Based on this study, following methods are proposed: (1) a faster face recognition method that is forty times faster than the conventional Gabor face representation that can discriminate faces with 91.4 % accuracy, (2) a five times faster method than the conventional representation that showed 95.7 % accuracy, (3) a novel weighted vote of Gabor filters-based face recognition method which showed 99 % accuracy, and (4) an online face authentication system using global and person specific threshold. The tests are performed using a 1200 subject dataset collected from a combination of three databases: FERET, Indian and in-house.

• 出版日期2016-12
• 单位香港城市大学