Infrared face recognition: a comprehensive review of methodologies and databases

Shoja Ghiass,R, Arandjelović,O, Bendada,A and Maldague,X 2014, Infrared face recognition: a comprehensive review of methodologies and databases, Pattern recognition, vol. 47, no. 9, pp. 2807-2824, doi: 10.1016/j.patcog.2014.03.015.

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Title Infrared face recognition: a comprehensive review of methodologies and databases
Author(s) Shoja Ghiass,R
Journal name Pattern recognition
Volume number 47
Issue number 9
Start page 2807
End page 2824
Publisher Elsevier BV
Place of publication Amsterdam, Netherlands
Publication date 2014-09
ISSN 0031-3203
Keyword(s) Fusion
Vein extraction
Science & Technology
Computer Science, Artificial Intelligence
Engineering, Electrical & Electronic
Computer Science
Summary Automatic face recognition is an area with immense practical potential which includes a wide range of commercial and law enforcement applications. Hence it is unsurprising that it continues to be one of the most active research areas of computer vision. Even after over three decades of intense research, the state-of-the-art in face recognition continues to improve, benefitting from advances in a range of different research fields such as image processing, pattern recognition, computer graphics, and physiology. Systems based on visible spectrum images, the most researched face recognition modality, have reached a significant level of maturity with some practical success. However, they continue to face challenges in the presence of illumination, pose and expression changes, as well as facial disguises, all of which can significantly decrease recognition accuracy. Amongst various approaches which have been proposed in an attempt to overcome these limitations, the use of infrared (IR) imaging has emerged as a particularly promising research direction. This paper presents a comprehensive and timely review of the literature on this subject. Our key contributions are (i) a summary of the inherent properties of infrared imaging which makes this modality promising in the context of face recognition; (ii) a systematic review of the most influential approaches, with a focus on emerging common trends as well as key differences between alternative methodologies; (iii) a description of the main databases of infrared facial images available to the researcher; and lastly (iv) a discussion of the most promising avenues for future research. © 2014 Elsevier Ltd.
Language eng
DOI 10.1016/j.patcog.2014.03.015
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2014, Elsevier
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Document type: Journal Article
Collection: Centre for Pattern Recognition and Data Analytics
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