Directional binary code with application to PolyU near-infrared face database

Authors:
Baochang Zhang;Lei Zhang;David Zhang;Linlin Shen
Affiliations:
National Key Laboratory of Science and Technology on Integrated Control Technology, School of Automation Science and Electrical Engineering, Beihang University, Beijing, China;Biometrics Research Center, Dept. of Computing, The Hong Kong Polytechnic University, Hong Kong, Hong Kong;Biometrics Research Center, Dept. of Computing, The Hong Kong Polytechnic University, Hong Kong, Hong Kong;School of Computer Science & Software Engineering, Shenzhen University, China
Venue:
Pattern Recognition Letters
Year:
2010

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Abstract

This paper introduces the establishment of PolyU near-infrared face database (PolyU-NIRFD) and presents a new coding scheme for face recognition. The PolyU-NIRFD contains images from 350 subjects, each contributing about 100 samples with variations of pose, expression, focus, scale, time, etc. In total, 35,000 samples were collected in the database. The PolyU-NIRFD provides a platform for researchers to develop and evaluate various near-infrared face recognition techniques under large scale, controlled and uncontrolled conditions. A new coding scheme, namely directional binary code (DBC), is then proposed for near-infrared face recognition. Finally, we provide three protocols to evaluate and compare the proposed DBC method with baseline face recognition methods, including Gabor based Eigenface, Fisherface and LBP (local binary pattern) on the PolyU-NIRFD database. In addition, we also conduct experiments on the visible light band FERET database to further validate the proposed DBC scheme.