Contactless Palmprint Recognition System: A Survey

Alausa, Dele W. S. and Adetiba, E. and Badejo, J. A. and Davidson, Innocent Ewean and Obiyemi,, O.O. and Buraimoh, Elutunji and Abayomi, Abdultaofeek and Oshin, Oluwadamilola (2022) Contactless Palmprint Recognition System: A Survey. IEEE Access, 10. pp. 132483-132505.

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Abstract

Information systems in organizations traditionally require users to remember their secret pins or (passwords), token, card number, or both to con�rm their identities. However, the technological trend has been moving towards personal identi�cation based on individual behavioural attributes (such as gaits, signature, and voice) or physiological attributes (such as palmprint, �ngerprint, face, iris, or ear). These attributes (biometrics) offer many advantages over knowledge and possession-based approaches. For example, palmprint images have rich, unique features for reliable human identi�cation, and it has received signi�cant attention due to their stability, reliability, uniqueness, and non-intrusiveness. This paper provides an overview and evaluation of contactless palmprint recognition system, the state-of-the-art performance of existing studies, different types of ``Region of Interest'' (ROI) extraction algorithms, feature extraction, and matching algorithms. Finally, the �ndings obtained are presented and discussed.

Item Type:	Article
Uncontrolled Keywords:	Biometrics, information system, palmprint images, region of interest.
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User:	nwokealisi
Date Deposited:	19 Jan 2023 12:54
Last Modified:	19 Jan 2023 12:54
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/16536

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