Individuals Identification Based on Palm Vein Matching under a Parallel Environment
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,...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-07-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/9/14/2805 |
| _version_ | 1818963068722348032 |
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| author | Ruber Hernández-García Ricardo J. Barrientos Cristofher Rojas Marco Mora |
| author_facet | Ruber Hernández-García Ricardo J. Barrientos Cristofher Rojas Marco Mora |
| author_sort | Ruber Hernández-García |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-20T12:39:21Z |
| format | Article |
| id | doaj.art-5995718c9f0e480892ddeef415115aa3 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-20T12:39:21Z |
| publishDate | 2019-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-5995718c9f0e480892ddeef415115aa32022-12-21T19:40:32ZengMDPI AGApplied Sciences2076-34172019-07-01914280510.3390/app9142805app9142805Individuals Identification Based on Palm Vein Matching under a Parallel EnvironmentRuber Hernández-García0Ricardo J. Barrientos1Cristofher Rojas2Marco Mora3Laboratory of Technological Research in Pattern Recognition (LITRP), Universidad Católica del Maule, Talca 3480112, ChileLaboratory of Technological Research in Pattern Recognition (LITRP), Universidad Católica del Maule, Talca 3480112, ChileDepartment of Informatics and Telecommunication, Universidad Tecnólogica de Chile INACAP, Talca 3480063, ChileLaboratory of Technological Research in Pattern Recognition (LITRP), Universidad Católica del Maule, Talca 3480112, ChileBiometric 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.https://www.mdpi.com/2076-3417/9/14/2805individuals identificationpalm vein recognitionbiometricsparse matchingmulti-core algorithm |
| spellingShingle | Ruber Hernández-García Ricardo J. Barrientos Cristofher Rojas Marco Mora Individuals Identification Based on Palm Vein Matching under a Parallel Environment Applied Sciences individuals identification palm vein recognition biometric sparse matching multi-core algorithm |
| title | Individuals Identification Based on Palm Vein Matching under a Parallel Environment |
| title_full | Individuals Identification Based on Palm Vein Matching under a Parallel Environment |
| title_fullStr | Individuals Identification Based on Palm Vein Matching under a Parallel Environment |
| title_full_unstemmed | Individuals Identification Based on Palm Vein Matching under a Parallel Environment |
| title_short | Individuals Identification Based on Palm Vein Matching under a Parallel Environment |
| title_sort | individuals identification based on palm vein matching under a parallel environment |
| topic | individuals identification palm vein recognition biometric sparse matching multi-core algorithm |
| url | https://www.mdpi.com/2076-3417/9/14/2805 |
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