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Rotation and noise invariant near-infrared face recognition by means of Zernike moments and spectral regression discriminant analysis

[+] Author Affiliations
Sajad Farokhi

Universiti Teknologi Malaysia, Faculty of Computing, 81310, Johor, Malaysia

Siti Mariyam Shamsuddin

Universiti Teknologi Malaysia, Faculty of Computing, 81310, Johor, Malaysia

Jan Flusser

Institute of Information Theory and Automation of the Academy of Sciences of the Czech Republic, 182 08, Prague, Czech Republic

Usman Ullah Sheikh

Universiti Teknologi Malaysia, Faculty of Electrical Engineering, 81310, Johor, Malaysia

Mohammad Khansari

University of Tehran, Faculty of New Sciences and Technologies, 14399-55941, Tehran, Iran

Kourosh Jafari-Khouzani

Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 02114, Boston, Massachusetts

J. Electron. Imaging. 22(1), 013030 (Mar 01, 2013). doi:10.1117/1.JEI.22.1.013030
History: Received September 9, 2012; Revised January 29, 2013; Accepted February 14, 2013
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Abstract.  Face recognition is a rapidly growing research area, which is based heavily on the methods of machine learning, computer vision, and image processing. We propose a rotation and noise invariant near-infrared face-recognition system using an orthogonal invariant moment, namely, Zernike moments (ZMs) as a feature extractor in the near-infrared domain and spectral regression discriminant analysis (SRDA) as an efficient algorithm to decrease the computational complexity of the system, enhance the discrimination power of features, and solve the “small sample size” problem simultaneously. Experimental results based on the CASIA NIR database show the noise robustness and rotation invariance of the proposed approach. Further analysis shows that SRDA as a sophisticated technique, improves the accuracy and time complexity of the system compared with other data reduction methods such as linear discriminant analysis.

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Citation

Sajad Farokhi ; Siti Mariyam Shamsuddin ; Jan Flusser ; Usman Ullah Sheikh ; Mohammad Khansari, et al.
"Rotation and noise invariant near-infrared face recognition by means of Zernike moments and spectral regression discriminant analysis", J. Electron. Imaging. 22(1), 013030 (Mar 01, 2013). ; http://dx.doi.org/10.1117/1.JEI.22.1.013030


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