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• W2958017747 abstract "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." @default.
• W2958017747 created "2019-07-23" @default.
• W2958017747 creator A5062097752 @default.
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• W2958017747 date "2019-07-12" @default.
• W2958017747 modified "2023-10-01" @default.
• W2958017747 title "Individuals Identification Based on Palm Vein Matching under a Parallel Environment" @default.
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• W2958017747 doi "https://doi.org/10.3390/app9142805" @default.
• W2958017747 hasPublicationYear "2019" @default.
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