Kolivand, H, Akintoye, KA, Asadianfam, S and Rahim, MS (2023) Finger Vein Recognition Techniques: A Comprehensive Review. Multimedia Tools and Applications. ISSN 1380-7501
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Abstract
This paper discusses a comprehensive review of the previous research in the field of the finger vein recognition system with a focus on finger vein enhancements and features extraction advances and shortcomings. It starts with a general introduction of the biometric system followed by detailed descriptions on finger vein identification, and its architecture archival of it, which includes image acquisition, preprocessing of the image, feature extraction, and vein matching. This study focuses on related work proposed by previous researchers, issues in the field that originated from the related work, and a discussion of each of the issues associated and the proposed solutions to each of them. Next a comprehensive discussion on the advances and shortcomings of the existing techniques based on the qualities, capturing device, database, and feature of that quality is presented. Accurate comparisons between existing techniques are presented as tables to make it easy for new researchers to come up with advances and drawbacks of each technique without spending time on all existing research in this area.
Item Type: | Article |
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Additional Information: | This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s11042-023-14463-5 |
Uncontrolled Keywords: | 0801 Artificial Intelligence and Image Processing; 0803 Computer Software; 0805 Distributed Computing; 0806 Information Systems; Artificial Intelligence & Image Processing; Software Engineering |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
Divisions: | Computer Science & Mathematics |
Publisher: | Springer |
SWORD Depositor: | A Symplectic |
Date Deposited: | 21 Feb 2023 11:01 |
Last Modified: | 04 Mar 2024 00:50 |
DOI or ID number: | 10.1007/s11042-023-14463-5 |
URI: | https://researchonline.ljmu.ac.uk/id/eprint/18946 |
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