Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/25268
Title: Mobile Iris CHallenge Evaluation II: results from the ICPR competition
Authors: Castrillón-Santana, Modesto 
De Marsico, Maria
Nappi, Michele
Narducci, Fabio
Proença, Hugo
UNESCO Clasification: 120304 Inteligencia artificial
Keywords: Recognition
Issue Date: 2016
Journal: Proceedings - International Conference on Pattern Recognition 
Conference: 23rd International Conference on Pattern Recognition, ICPR 2016 
Abstract: The growing interest for mobile biometrics stems from the increasing need to secure personal data and services, which are often stored or accessed from there. Modern user mobile devices, with acquisition and computation resources to support related operations, are nowadays widely available. This makes this research topic very attracting and promising. Iris recognition plays a major role in this scenario. However, mobile biometrics still suffer from some hindering factors. The resolution of captured images and the computational power are not comparable to desktop systems yet. Furthermore, the acquisition setting is generally uncontrolled, with users who are not that expert to autonomously generate biometric samples of sufficient quality. Mobile Iris CHallenge Evaluation aims at providing a testbed to assess the progress of mobile iris recognition, and to evaluate the extent of its present limitations. This paper presents the results of the competition launched at the 2016 edition of the International Conference on Pattern Recognition (ICPR).
URI: http://hdl.handle.net/10553/25268
ISBN: 9781509048472
ISSN: 1051-4651
DOI: 10.1109/ICPR.2016.7899624
Source: International Conference on Pattern Recognition [ISSN 1051-4651], article number 7899624
Appears in Collections:Actas de congresos
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