survey

Deep Learning for Biometrics: A Survey

Authors:

Kalaivani Sundararajan,

Damon L. WoodardAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 51, Issue 3

Article No.: 65, Pages 1 - 34

https://doi.org/10.1145/3190618

Published: 23 May 2018 Publication History

Abstract

In the recent past, deep learning methods have demonstrated remarkable success for supervised learning tasks in multiple domains including computer vision, natural language processing, and speech processing. In this article, we investigate the impact of deep learning in the field of biometrics, given its success in other domains. Since biometrics deals with identifying people by using their characteristics, it primarily involves supervised learning and can leverage the success of deep learning in other related domains. In this article, we survey 100 different approaches that explore deep learning for recognizing individuals using various biometric modalities. We find that most deep learning research in biometrics has been focused on face and speaker recognition. Based on inferences from these approaches, we discuss how deep learning methods can benefit the field of biometrics and the potential gaps that deep learning approaches need to address for real-world biometric applications.

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Index Terms

Deep Learning for Biometrics: A Survey
1. Computing methodologies
  1. Machine learning
    1. Learning paradigms
      1. Supervised learning
        Supervised learning by classification
    2. Machine learning approaches
      1. Neural networks
2. Security and privacy
  1. Security services
    1. Authentication
      1. Biometrics

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 51, Issue 3

May 2019

796 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3212709

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

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Publication History

Published: 23 May 2018

Accepted: 01 February 2018

Revised: 01 February 2018

Received: 01 November 2016

Published in CSUR Volume 51, Issue 3

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Micheli-Tzanakou EPlataniotis KLabati R(2025)Biometrics: Terms and DefinitionsEncyclopedia of Cryptography, Security and Privacy10.1007/978-3-030-71522-9_730(265-269)Online publication date: 8-Jan-2025
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Lanitis A(2025)Aging of Biometric TraitsEncyclopedia of Cryptography, Security and Privacy10.1007/978-3-030-71522-9_1512(47-50)Online publication date: 8-Jan-2025
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