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Open AccessArticle

Individuals Identification Based on Palm Vein Matching under a Parallel Environment

1
Laboratory of Technological Research in Pattern Recognition (LITRP), Universidad Católica del Maule, Talca 3480112, Chile
2
Department of Computer Science and Industry, Faculty of Engineering Science, Universidad Católica del Maule, Talca 3480112, Chile
3
Department of Informatics and Telecommunication, Universidad Tecnólogica de Chile INACAP, Talca 3480063, Chile
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(14), 2805; https://doi.org/10.3390/app9142805
Received: 10 June 2019 / Revised: 26 June 2019 / Accepted: 9 July 2019 / Published: 12 July 2019
(This article belongs to the Section Computing and Artificial Intelligence)
Biometric identification and verification are essential mechanisms in modern society. Palm vein recognition is an emerging biometric technique, which has several advantages, especially in terms of security against forgery. Contactless palm vein systems are more suitable for real-world applications, but two of the major challenges of the state-of-the-art contributions are image deformations and time efficiency. In the present work, we propose a new method for palm vein recognition by combining DAISY descriptor and the Coarse-to-fine PatchMatch (CPM) algorithm in a parallel matching process. Our proposal aims at providing an effective and efficient technique to obtain similarity of palm vein images considering their displacements as discriminatory information. Extensive evaluation on three publicly available databases demonstrates that the discriminability of the proposed approach reaches the state-of-the-art results while it is considerably superior in time efficiency. View Full-Text
Keywords: individuals identification; palm vein recognition; biometric; sparse matching; multi-core algorithm individuals identification; palm vein recognition; biometric; sparse matching; multi-core algorithm
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Hernández-García, R.; Barrientos, R.J.; Rojas, C.; Mora, M. Individuals Identification Based on Palm Vein Matching under a Parallel Environment. Appl. Sci. 2019, 9, 2805.

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