Analysis of local binary patterns and uniform local binary patterns for palm vein biometric recognition

Aglio Caballero, Alicia and Rios Sanchez, Belen and Sánchez Ávila, Maria del Carmen and Melcón de Giles, María José (2017). Analysis of local binary patterns and uniform local binary patterns for palm vein biometric recognition. In: "International Carnahan Conference on Security Technology (ICCST) 2017", 23/10/2017 - 26/10/2017, Madrid, Spain. ISBN 978-1-5386-1585-0. pp. 1-6. https://doi.org/10.1109/CCST.2017.8167808.

Description

Title: Analysis of local binary patterns and uniform local binary patterns for palm vein biometric recognition
Author/s:
  • Aglio Caballero, Alicia
  • Rios Sanchez, Belen
  • Sánchez Ávila, Maria del Carmen
  • Melcón de Giles, María José
Item Type: Presentation at Congress or Conference (Article)
Event Title: International Carnahan Conference on Security Technology (ICCST) 2017
Event Dates: 23/10/2017 - 26/10/2017
Event Location: Madrid, Spain
Title of Book: Proceedings of International Carnahan Conference on Security Technology (ICCST) 2017
Título de Revista/Publicación: 2017 INTERNATIONAL CARNAHAN CONFERENCE ON SECURITY TECHNOLOGY (ICCST)
Date: 7 December 2017
ISBN: 978-1-5386-1585-0
Subjects:
Freetext Keywords: Biometrics, LBP, LBPU, Palm Veins, Pattern Recognition, Texture Analysis
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Tecnología Fotónica y Bioingeniería
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Palm vein recognition has emerged as a novelty highly invariant biometric technique that is difficult to forge due to their internal nature. In this work the texture descriptors Local Binary Patterns (LBP) and Uniform Local Binary Patterns (LBPU) are analyzed as feature extraction methods for biometric verification based on palm veins. Their performance and efficiency has been studied through a multivariate analysis including the impact of different wavelengths and the parameters of the texture descriptor number of neighboors and radio. CASIA Multi-Spectral Palmprint Image Database V1.0 has been used for the evaluation of the system.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTEC2015-68784-RUnspecifiedUnspecifiedPreview-procesador vectorial para sistemas de identificación a gran escala y sistemas basados en wearables

More information

Item ID: 50837
DC Identifier: http://oa.upm.es/50837/
OAI Identifier: oai:oa.upm.es:50837
DOI: 10.1109/CCST.2017.8167808
Official URL: https://ieeexplore.ieee.org/document/8167808
Deposited by: Memoria Investigacion
Deposited on: 23 Oct 2018 15:21
Last Modified: 08 Dec 2018 23:30
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