Conventional Biometrics and Hidden Biometric: A Comparative Study

Shaleen Bhatnagar*, Nidhi Mishra

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

The biometric verification is necessary for the identification of human subjects for the purpose of security and authentication. Biometric data are very much unambiguous to each one, easily obtainable non-intrusively, no significant changes over a period of time and detectable by humans without much special training. Biometric traits provide a unique natural signature of an individual and it is accepted everywhere. Each biometric technique has its advantage and disadvantage. The methods based on conventional biometric traits such as the face, fingerprint, iris, signature, speech, etc., face problems of theft, imposter, and other security problems. Biometric template once theft cannot be used again. Hidden biometrics is a field where structural features of hidden body parts are used for biometric identification of human subjects. In this chapter, we will show a comparison of different hidden biometrics present and can be used for authentication.

Original languageEnglish
Title of host publicationInformation and Communication Technology for Intelligent Systems - Proceedings of ICTIS 2020
EditorsTomonobu Senjyu, Parikshit N. Mahalle, Thinagaran Perumal, Amit Joshi
PublisherSpringer Science and Business Media Deutschland GmbH
Pages473-481
Number of pages9
ISBN (Print)9789811570612
DOIs
Publication statusPublished - 2021
Event4th International Conference on Information and Communication Technology for Intelligent Systems, ICTIS 2020 - Ahmedabad, India
Duration: 15-05-202016-05-2020

Publication series

NameSmart Innovation, Systems and Technologies
Volume196
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference4th International Conference on Information and Communication Technology for Intelligent Systems, ICTIS 2020
Country/TerritoryIndia
CityAhmedabad
Period15-05-2016-05-20

All Science Journal Classification (ASJC) codes

  • General Decision Sciences
  • General Computer Science

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