The Impact of Bio-Inspired Approaches Toward the Advancement of Face Recognition

ACM Computing Surveys(2015)

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摘要
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.
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关键词
Algorithms,Security,Performance,Face recognition,bio-inspired computing,feature selection,optimization,evolutionary algorithms,artificial neural networks,swarm intelligence
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