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Santos Sierra, Alberto de and Sánchez Ávila, María del Carmen and Guerra Casanova, Javier and Bailador del Pozo, Gonzalo (2011). A comparative study on unconstrained hand biometrics. In: "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.
Title: | A comparative study on unconstrained hand biometrics |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | 2011 International Conference on Hand-Based Biometrics (ICHB |
Event Dates: | 17/11/2011 - 18/11/2011 |
Event Location: | Hong Kong, China |
Title of Book: | Proceedings of 2011 International Conference on Hand-Based Biometrics (ICHB |
Date: | 2011 |
ISBN: | 978-1-4577-0491-8 |
Subjects: | |
Faculty: | Centro de Domótica Integral (CeDInt) (UPM) |
Department: | Otro |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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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.
Item ID: | 13519 |
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DC Identifier: | https://oa.upm.es/13519/ |
OAI Identifier: | oai:oa.upm.es:13519 |
Official URL: | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?... |
Deposited by: | Memoria Investigacion |
Deposited on: | 17 Oct 2012 10:32 |
Last Modified: | 10 Mar 2023 16:01 |