Alsalibi, Brian, Venkat, Ibrahim, Subramanian, K.G., Lutfi, Syaheerah Lebai, De Wilde, Philippe (2015) The impact of bio-inspired approaches toward the advancement of face recognition. ACM Computing Surveys, 48 (1). Article Number 5. ISSN 0360-0300. (doi:10.1145/2791121) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:58006)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.1145/2791121 |
Abstract
An increased number of bio-inspired face recognition systems have emerged in recent decades owing to their intelligent problem-solving ability, flexibility, scalability, and adaptive nature. Hence, this survey aims to present a detailed overview of bio-inspired approaches pertaining to the advancement of face recognition. Based on a well-classified taxonomy, relevant bio-inspired techniques and their merits and demerits in countering potential problems vital to face recognition are analyzed. A synthesis of various approaches in terms of key governing principles and their associated performance analysis are systematically portrayed. Finally, some intuitive future directions are suggested on how bio-inspired approaches can contribute to the advancement of face biometrics in the years to come.
Item Type: | Article |
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DOI/Identification number: | 10.1145/2791121 |
Additional information: | cited By 0 |
Uncontrolled keywords: | Artificial intelligence; Biometrics; Evolutionary algorithms; Feature extraction; Neural networks; Optimization; Problem solving, Bio-inspired approach; Bio-inspired computing; Bio-inspired techniques; Face recognition systems; Intelligent problems; Performance analysis; Potential problems; Swarm Intelligence, Face recognition |
Subjects: | Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Philippe De Wilde |
Date Deposited: | 24 Oct 2016 10:50 UTC |
Last Modified: | 05 Nov 2024 10:49 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/58006 (The current URI for this page, for reference purposes) |
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