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Dynamic biometric identification from multiple views using the GLBP-TOP method

Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 3rd International Conference on Biomedical Engineering and Biotechnology, 25–28 September 2014, Beijing, China

Article type: Research Article

Authors: Wang, Yu; ; | Shen, Xuanjing; | Chen, Haipeng; ; | Zhai, Yujie;

Affiliations: College of Computer Science and Technology, Jilin University, Changchun 130012, China | Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin 130012, China | Applied Technology College Jilin University, Changchun 130012, China

Note: [] Corresponding author: HaiPeng Chen, College of Computer Science and Technology, Jilin University, Changchun 130012, China. Tel.: 13756551186; Fax: 0431-85094780; E-mail: chenhp@jlu.edu.cn.

Keywords: Biometric identification, gabor filters, LBP-TOP, fisher criterion

DOI: 10.3233/BME-141089

Journal: Bio-Medical Materials and Engineering, vol. 24, no. 6, pp. 2715-2724, 2014

Published: 2014
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Abstract

To realize effective and rapid dynamic biometric identification with low computational complexity, a video-based facial texture program that extracts local binary patterns from three orthogonal planes in the frequency domain of the Gabor transform (GLBP-TOP) was proposed. Firstly, each normalized face was transformed by Gabor wavelet to get the enhanced Gabor magnitude map, and then the LBP-TOP operator was applied to the maps to extract video texture. Finally, weighted Chi square statistics based on the Fisher Criterion were used to realize the identification. The proposed algorithm was proved effective through the biometric experiments using the Honda/UCSD database, and was robust against changes of illumination and expressions.

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