Swarm intelligence and evolutionary computation approaches for 2D face recognition: a systematic review | Zendy

Guilherme Felippe Plichoski | Zendy; Chidambaram Chidambaram | Zendy; Rafael Stubs Parpinelli | Zendy

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Swarm intelligence and evolutionary computation approaches for 2D face recognition: a systematic review

Author(s) -

Guilherme Felippe Plichoski,

Chidambaram Chidambaram,

Rafael Stubs Parpinelli

Publication year - 2018

Publication title -

revista brasileira de computação aplicada

Language(s) - English

Resource type - Journals

ISSN - 2176-6649

DOI - 10.5335/rbca.v10i2.8046

Subject(s) - swarm intelligence , evolutionary computation , artificial intelligence , face (sociological concept) , computer science , facial recognition system , computation , machine learning , computational intelligence , particle swarm optimization , pattern recognition (psychology) , sociology , algorithm , social science

A wide range of approaches for 2D face recognition (FR) systems can be found in the literature due to its high applicability and issues that need more investigation yet which include occlusion, variations in scale, facial expression, and illumination. Over the last years, a growing number of improved 2D FR systems using Swarm Intelligence and Evolutionary Computing algorithms have emerged. The present work brings an up-to-date Systematic Literature Review (SLR) concerning the use of Swarm Intelligence and Evolutionary Computation applied in 2D FR systems. Also, this review analyses and points out the key techniques and algorithms used and suggests some directions for future research.

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