Biometric recognition based on finger-vein patterns is gaining more and more attention, as several approaches have been recently proposed to extract discriminative features from vascular structures. In this paper we investigate the similarity between vein patterns of symmetric fingers of the left and right hand of a subject. More in detail, we analyze the performance achievable when using symmetric fingers and geometry- or deep-learning-based feature extraction methods for recognition. A database with acquisitions from left and right index, medium, and ring fingers of 106 subjects is exploited for experimental tests.
Piciucco, E., Kuzu, R.S., Maiorana, E., Campisi, P. (2019). On the Cross-Finger Similarity of Vein Patterns. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp.12-20). Springer Verlag [10.1007/978-3-030-30754-7_2].
On the Cross-Finger Similarity of Vein Patterns
Piciucco E.;Kuzu R. S.;Maiorana E.
;Campisi P.
2019-01-01
Abstract
Biometric recognition based on finger-vein patterns is gaining more and more attention, as several approaches have been recently proposed to extract discriminative features from vascular structures. In this paper we investigate the similarity between vein patterns of symmetric fingers of the left and right hand of a subject. More in detail, we analyze the performance achievable when using symmetric fingers and geometry- or deep-learning-based feature extraction methods for recognition. A database with acquisitions from left and right index, medium, and ring fingers of 106 subjects is exploited for experimental tests.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
