Multi-Biometric System Based On The Fusion Of Fingerprint And Finger-Vein
Vijayarajan, Jeyalakshmi (Mepco Schlenk Engineering College (Índia))
Pooja, K (Mepco Schlenk Engineering College (Índia))
Pethanatchi, C (Mepco Schlenk Engineering College (Índia))

Date:	2024
Abstract:	Biometrics is the process of measuring the unique biological traits of an individual for identification and verification purposes. Multiple features are used to enhance the security and robustness of the system. This study concentrates exclusively on the finger and employs two modalities - fingerprint and finger vein. The proposed system utilizes feature extraction for finger vein and two matching algorithms, namely ridge-based matching, and minutiae-based matching, to derive matching scores for both biometrics. The scores from the two modalities are combined using four fusion approaches: holistic fusion, non-linear fusion, sum rule-based fusion, and Dempster-Shafer theory. The ultimate decision is made by the performance metrics and the Receiver Operating Characteristics (ROC) curve of the fusion technique with the best results. The proposed technique is tested on images collected from the "Nanjing University Posts and Telecommunications- Fingerprint and Finger vein dataset (NUPT-FPV). " According to the results, which were obtained for 840 input images the proposed system accomplishes the Equal Error Rate (EER) of 0% while using Dempster Shafer-based fusion and 14% while using the other three fusion techniques. Also, the False Acceptance Rate (FAR) is very low at 0% for all the fusion techniques which are crucial for security and preventing unauthorized access.
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Score level fusion ; Maximum curvature ; Cosine similarity ; Holistic fusion ; Non-linear fusion ; Dempster-Shafer theory
Published in:	ELCVIA. Electronic letters on computer vision and image analysis, Vol. 23 Núm. 1 (2024) , p. 32-46 (Regular Issue) , ISSN 1577-5097

Adreça original: https://elcvia.cvc.uab.cat/article/view/1822
Adreça alternativa: https://raco.cat/index.php/ELCVIA/article/view/980000001022
DOI: 10.5565/rev/elcvia.1822

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