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Near infrared face recognition: A literature survey
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SYSNO ASEP 0461834 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Near infrared face recognition: A literature survey Author(s) Farokhi, Sajad (UTIA-B)
Flusser, Jan (UTIA-B) RID, ORCID
Sheikh, U. U. (MY)Number of authors 3 Source Title Computer Science Review. - : Elsevier - ISSN 1574-0137
Roč. 21, č. 1 (2016), s. 1-17Number of pages 17 s. Publication form Print - P Language eng - English Country NL - Netherlands Keywords Literature survey ; Biometrics ; Face recognition ; Near infrared ; Illumination invariant Subject RIV JD - Computer Applications, Robotics R&D Projects GA15-16928S GA ČR - Czech Science Foundation (CSF) Institutional support UTIA-B - RVO:67985556 UT WOS 000383376800001 EID SCOPUS 84991279725 DOI 10.1016/j.cosrev.2016.05.003 Annotation As a primary modality in biometrics, human face recognition has been employed widely in the computer vision domain because of its performance in a wide range of applications such as surveillance systems and forensics. Recently, near infrared (NIR) imagery has been used in many face recognition systems because of the high robustness to illumination changes in the acquired images. Even though some surveys have been conducted in this infrared domain, they have focused on thermal infrared methods rather than NIR methods. Furthermore, none of the previous infrared surveys provided comprehensive and critical analyses of NIR methods. Therefore, this paper presents an up-to-date survey of the wellknown NIR methods that are used to solve the problem of illumination. The paper includes a discussion of the benefits and drawbacks of various NIR methods. Finally, the most promising avenues for future research are highlighted. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2017
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