A comparative study on unconstrained hand biometrics

Santos Sierra, Alberto de; Sánchez Ávila, Carmen; Guerra Casanova, Javier y Bailador del Pozo, Gonzalo (2011). A comparative study on unconstrained hand biometrics. En: "2011 International Conference on Hand-Based Biometrics (ICHB", 17/11/2011 - 18/11/2011, Hong Kong, China. ISBN 978-1-4577-0491-8. pp. 1-6.

Descripción

Título: A comparative study on unconstrained hand biometrics
Autor/es:
  • Santos Sierra, Alberto de
  • Sánchez Ávila, Carmen
  • Guerra Casanova, Javier
  • Bailador del Pozo, Gonzalo
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 2011 International Conference on Hand-Based Biometrics (ICHB
Fechas del Evento: 17/11/2011 - 18/11/2011
Lugar del Evento: Hong Kong, China
Título del Libro: Proceedings of 2011 International Conference on Hand-Based Biometrics (ICHB
Fecha: 2011
ISBN: 978-1-4577-0491-8
Materias:
Escuela: Centro de Domótica Integral (CeDInt) (UPM)
Departamento: Otro
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Biometrics applied to mobile devices are of great interest for security applications. Daily scenarios can benefit of a combination of both the most secure systems and most simple and extended devices. This document presents a hand biometric system oriented to mobile devices, proposing a non-intrusive, contact-less acquisition process where final users should take a picture of their hand in free-space with a mobile device without removals of rings, bracelets or watches. The main contribution of this paper is threefold: firstly, a feature extraction method is proposed, providing invariant hand measurements to previous changes; second contribution consists of providing a template creation based on hand geometric distances, requiring information from only one individual, without considering data from the rest of individuals within the database; finally, a proposal for template matching is proposed, minimizing the intra-class similarity and maximizing the inter-class likeliness. The proposed method is evaluated using three publicly available contact-less, platform-free databases. In addition, the results obtained with these databases will be compared to the results provided by two competitive pattern recognition techniques, namely Support Vector Machines (SVM) and k-Nearest Neighbour, often employed within the literature. Therefore, this approach provides an appropriate solution to adapt hand biometrics to mobile devices, with an accurate results and a non-intrusive acquisition procedure which increases the overall acceptance from the final user.

Más información

ID de Registro: 13519
Identificador DC: http://oa.upm.es/13519/
Identificador OAI: oai:oa.upm.es:13519
Depositado por: Memoria Investigacion
Depositado el: 17 Oct 2012 10:32
Ultima Modificación: 21 Abr 2016 12:50
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