Study of the effect of blurriness in image acquisition for Hand Biometrics in Mobile Devices

Santos Sierra, Alberto de; Sánchez Ávila, Carmen; Guerra Casanova, Javier y Bailador del Pozo, Gonzalo (2011). Study of the effect of blurriness in image acquisition for Hand Biometrics in Mobile Devices. En: "2011 IEEE International Carnahan Conference on Security Technology (ICCST)", 18/10/2011 - 21/10/2011, Barcelona, España. ISBN 978-1-4577-0902-9.

Descripción

Título: Study of the effect of blurriness in image acquisition for Hand Biometrics in Mobile Devices
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 IEEE International Carnahan Conference on Security Technology (ICCST)
Fechas del Evento: 18/10/2011 - 21/10/2011
Lugar del Evento: Barcelona, España
Título del Libro: Proceedings of 2011 IEEE International Carnahan Conference on Security Technology (ICCST)
Fecha: 2011
ISBN: 978-1-4577-0902-9
Materias:
Escuela: Centro de Domótica Integral (CeDInt) (UPM)
Departamento: Otro
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

This paper presents a study on the effect of blurred images in hand biometrics. Blurred images simulates out-of-focus effects in hand image acquisition, a common consequence of unconstrained, contact-less and platform-free hand biometrics in mobile devices. The proposed biometric system presents a hand image segmentation based on multiscale aggregation, a segmentation method invariant to different changes like noise or blurriness, together with an innovative feature extraction and a template creation, oriented to obtain an invariant performance against blurring effects. The results highlight that the proposed system is invariant to some low degrees of blurriness, requiring an image quality control to detect and correct those images with a high degree of blurriness. The evaluation has considered a synthetic database created based on a publicly available database with 120 individuals. In addition, several biometric techniques could benefit from the approach proposed in this paper, since blurriness is a very common effect in biometric techniques involving image acquisition.

Más información

ID de Registro: 13479
Identificador DC: http://oa.upm.es/13479/
Identificador OAI: oai:oa.upm.es:13479
URL Oficial: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6095934
Depositado por: Memoria Investigacion
Depositado el: 18 Oct 2012 09:13
Ultima Modificación: 21 Abr 2016 12:48
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