Ecole d'ingénieur et centre de recherche en Sciences du numérique

FIRE: Fast Iris REcognition on mobile phones by combining colour and texture features

Galdi, Chiara; Dugelay, Jean-Luc

Pattern Recognition Letters, February 2017

FIRE is a Fast Iris REcognition algorithm especially designed for iris recognition on mobile phones under visible-light. It is based on the combination of three classifiers exploiting the iris colour and texture information. Its limited computational time makes FIRE particularly suitable for fast user verification on mobile devices. The high parallelism of the code allows its use also on large databases. FIRE, in its first version, was submitted to the Mobile Iris CHallenge Evaluation part II held in 2016. In this paper, FIRE is further improved: a number of different techniques has been analyzed and the best performing ones have been selected for fusion at score level. Performance are assessed in terms of Recognition Rate (RR), Area Under Receiver Operating Characteristic Curve (AUC), and Equal Error Rate (EER).

Document Doi Bibtex

Titre:FIRE: Fast Iris REcognition on mobile phones by combining colour and texture features
Type:Journal
Langue:English
Ville:
Date:
Département:Sécurité numérique
Eurecom ref:5128
Copyright: © Elsevier. Personal use of this material is permitted. The definitive version of this paper was published in Pattern Recognition Letters, February 2017 and is available at : http://dx.doi.org/10.1016/j.patrec.2017.01.023
Bibtex: @article{EURECOM+5128, doi = {http://dx.doi.org/10.1016/j.patrec.2017.01.023}, year = {2017}, month = {01}, title = {{FIRE}: {F}ast {I}ris {RE}cognition on mobile phones by combining colour and texture features}, author = {{G}aldi, {C}hiara and {D}ugelay, {J}ean-{L}uc}, journal = {{P}attern {R}ecognition {L}etters, {F}ebruary 2017}, url = {http://www.eurecom.fr/publication/5128} }
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