Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/18436
Title: Online personal identification in night using multiple face representations
Authors: Kumar, A 
Srikanth, T
Keywords: Biometrics (access control)
Face recognition
Graph theory
Image matching
Image representation
Infrared imaging
Transforms
Issue Date: 2008
Publisher: IEEE
Source: 19th International Conference on Pattern Recognition, 2008 : ICPR 2008, 8-11 December 2008, Tampa, FL, p. 1-4 How to cite?
Abstract: This paper details a fully automated face authentication system using low-cost near infrared imaging. The image normalization step consists of eye center localization, scale correction and orientation correction. This paper investigates the comparison and combination of four face matchers on the automatically normalized face images: elastic bunch graph matching (EBGM), trace transform, PCA, and LDA. The performance evaluation is presented on the near infrared images acquired from the 102 users in two sessions with different pose and expressions. Our experimental results achieve the best results with the EER of 3.92% from the EBGM matcher while the combination of results from the different matchers can significantly improve the performance and achieve the EER of 2.28 %. The near infrared face database developed in this work is also made publicly available to foster further research.
URI: http://hdl.handle.net/10397/18436
ISBN: 978-1-4244-2174-9
978-1-4244-2175-6 (E-ISBN)
ISSN: 1051-4651
DOI: 10.1109/ICPR.2008.4761695
Appears in Collections:Conference Paper

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