Number of the records: 1

Near infrared face recognition: A literature survey

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. 1-17
Number 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

Number of the records: 1