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Two-directional two-dimensional modified Fisher principal component analysis: an efficient approach for thermal face verification

[+] Author Affiliations
Ning Wang

Harbin Institute of Technology, School of Computer Science and Technology, Harbin, China

Qiong Li

Harbin Institute of Technology, School of Computer Science and Technology, Harbin, China

Ahmed A. Abd El-Latif

Harbin Institute of Technology, School of Computer Science and Technology, Harbin, China

Menoufia University, Department of Mathematics, Faculty of Science, Shebin El-Koom, Egypt

Jialiang Peng

Harbin Institute of Technology, School of Computer Science and Technology, Harbin, China

Heilongjiang University, Information and Network Administration Center, Harbin, China

Xiamu Niu

Harbin Institute of Technology, School of Computer Science and Technology, Harbin, China

J. Electron. Imaging. 22(2), 023013 (May 10, 2013). doi:10.1117/1.JEI.22.2.023013
History: Received August 28, 2012; Revised March 15, 2013; Accepted April 12, 2013
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Abstract.  In recent years, verification based on thermal face images has been extensively studied because of its invariance to illumination and immunity to forgery. However, most of them have not given full consideration to high-verification performance and singular within-class scatter matrix problems. We propose a novel thermal face verification algorithm, which is named two-directional two-dimensional modified Fisher principal component analysis. First, two-dimensional principal component analysis (2-DPCA) is utilized to extract the optimal projective vector in the row direction. Then, 2-D modified Fisher linear discriminant analysis is implemented to overcome the singular within-class scatter matrix problem of the 2-DPCA space in the column direction. Comparative experiments on the natural visible and infrared facial expression thermal face subdatabase demonstrate that the proposed approach outperforms state-of-the-art methods in terms of verification performance.

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Citation

Ning Wang ; Qiong Li ; Ahmed A. Abd El-Latif ; Jialiang Peng and Xiamu Niu
"Two-directional two-dimensional modified Fisher principal component analysis: an efficient approach for thermal face verification", J. Electron. Imaging. 22(2), 023013 (May 10, 2013). ; http://dx.doi.org/10.1117/1.JEI.22.2.023013


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