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Computers 2016, 5(4), 21; doi:10.3390/computers5040021

A Survey of 2D Face Recognition Techniques

REGIM: Research Groups on Intelligent Machines, University of Sfax, National School of Engineers (ENIS), Sfax 3038, Tunisia
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Academic Editor: Yevgeniya Kovalchuk
Received: 24 June 2016 / Revised: 18 September 2016 / Accepted: 20 September 2016 / Published: 28 September 2016
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Abstract

Despite the existence of various biometric techniques, like fingerprints, iris scan, as well as hand geometry, the most efficient and more widely-used one is face recognition. This is because it is inexpensive, non-intrusive and natural. Therefore, researchers have developed dozens of face recognition techniques over the last few years. These techniques can generally be divided into three categories, based on the face data processing methodology. There are methods that use the entire face as input data for the proposed recognition system, methods that do not consider the whole face, but only some features or areas of the face and methods that use global and local face characteristics simultaneously. In this paper, we present an overview of some well-known methods in each of these categories. First, we expose the benefits of, as well as the challenges to the use of face recognition as a biometric tool. Then, we present a detailed survey of the well-known methods by expressing each method’s principle. After that, a comparison between the three categories of face recognition techniques is provided. Furthermore, the databases used in face recognition are mentioned, and some results of the applications of these methods on face recognition databases are presented. Finally, we highlight some new promising research directions that have recently appeared. View Full-Text
Keywords: biometrics; face recognition; person identification biometrics; face recognition; person identification
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Chihaoui, M.; Elkefi, A.; Bellil, W.; Ben Amar, C. A Survey of 2D Face Recognition Techniques. Computers 2016, 5, 21.

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