Multi-Biometric System Based On The Fusion Of Fingerprint And Finger-Vein

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 - fingerpri...

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Detalles Bibliográficos
Autores: Vijayarajan, Jeyalakshmi|||0000-0001-5576-1489, Pooja, K., Pethanatchi, C.
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:295038
Acceso en línea:https://ddd.uab.cat/record/295038
https://dx.doi.org/urn:doi:10.5565/rev/elcvia.1822
Access Level:acceso abierto
Palabra clave:Score level fusion
Maximum curvature
Cosine similarity
Holistic fusion
Non-linear fusion
Dempster-Shafer theory
Descripción
Sumario: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.