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Memorias de investigación
Communications at congresses:
Silhouette-based Hand Recognition on Mobile Devices
Year:2009
Research Areas
  • Mathematics
Information
Abstract
Hand Biometric Recognition not only gathers a good performance in identifying individuals but also it is known to be a non-invasive biometric technique. Furthermore, there exist new trends towards mobile implementation developments, focusing on embedding current biometric systems in mobile devices. This paper aims to implement hand biometric recognition with mobile devices. This approach involves a completely contact-less acquisition process, since the mobile devices only requires a low-quality camera. Moreover, a shape-based template provides a unique pattern for identification and verification, far different from previous implementations focused on diverse geometry measurements for efficient recognition. Results highlight the fact that Hand Biometric Recognition can be implemented in mobile devices with a considerable accuracy in identification/verification rates, being this implementation one of the first biometric identification systems carried out in mobile devices, considering moreover the fact of being without any contact and with low quality images. Posterior applications could take advantage of this implementation, since this model allows to extract a cryptographic feature from the hand template, or being combined with gesture recognition for aliveness detection in mobile platforms.
International
Si
Congress
43rd Annual 2009 IEEE International Carnahan Conference on Security Technology
960
Place
Zurich -Suiza
Reviewers
Si
ISBN/ISSN
978-1-4244-4169-3
Start Date
05/10/2009
End Date
08/10/2009
From page
160
To page
166
Silhouette-based Hand Recognition on Mobile Devices
Participants
  • Autor: Maria del Carmen Sanchez Avila (UPM)
Research Group, Departaments and Institutes related
  • Creador: Centro o Instituto I+D+i: Centro de Domótica Integral, CEDINT
  • Departamento: Matemática Aplicada a las Tecnologías de la Información
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