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

Authors:

Bisan Alsalibi,

Ibrahim Venkat,

K.G. Subramanian,

Syaheerah Lebai Lutfi,

Philippe De WildeAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 48, Issue 1

Article No.: 5, Pages 1 - 33

https://doi.org/10.1145/2791121

Published: 10 August 2015 Publication History

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.

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Index Terms

The Impact of Bio-Inspired Approaches Toward the Advancement of Face Recognition
1. Computing methodologies
  1. Machine learning

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 48, Issue 1

September 2015

592 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/2808687

Editor:
Sartaj Sahni
Department of Computer and Information Science and Engineering / University of Florida / Gainesville, FL 32611

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Publication History

Published: 10 August 2015

Accepted: 01 May 2015

Revised: 01 February 2015

Received: 01 August 2014

Published in CSUR Volume 48, Issue 1

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Mandave DPatil L(2023)Bio-inspired computing algorithms in dementia diagnosis – a application-oriented reviewResults in Control and Optimization10.1016/j.rico.2023.10027612(100276)Online publication date: Sep-2023
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