Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/7770
Title: Directional binary code with application to PolyU near-infrared face database
Authors: Zhang, B
Zhang, L 
Zhang, D 
Shen, L
Keywords: Face database
Feature extraction
Near-infrared face recognition
Issue Date: 2010
Publisher: North-Holland
Source: Pattern recognition letters, 2010, v. 31, no. 14, p. 2337-2344 How to cite?
Journal: Pattern recognition letters 
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.
URI: http://hdl.handle.net/10397/7770
ISSN: 0167-8655
EISSN: 1872-7344
DOI: 10.1016/j.patrec.2010.07.006
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