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

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Abstract

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.

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Authors and Affiliations

  1. Computer Vision and Cybernetics Research Group, Department of Computer Science and Engineering, Independent University Bangladesh, Dhaka, 1229, Bangladesh

    Iqbal Nouyed & M. Ashraful Amin

  2. School of Electrical and Information Engineering, University of Sydney, Sydney, NSW, 2006, Australia

    Bruce Poon & Hong Yan

  3. Department of Electronic Engineering, City University of Hong Kong, Hong Kong, China

    Hong Yan

Authors
  1. Iqbal Nouyed
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  2. Bruce Poon
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  3. M. Ashraful Amin
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  4. Hong Yan
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Correspondence to Bruce Poon.

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Nouyed, I., Poon, B., Amin, M.A. et al. A study on the discriminating characteristics of Gabor phase-face and an improved method for face recognition. Int. J. Mach. Learn. & Cyber. 7, 1115–1130 (2016). https://doi.org/10.1007/s13042-015-0440-8

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  • DOI: https://doi.org/10.1007/s13042-015-0440-8

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