Publications:Cross-Eyed 2017 : Cross-Spectral Iris/Periocular Recognition Database and Competition

From ISLAB/CAISR
Jump to navigationJump to search

Do not edit this section

Property "Author" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user.

Keep all hand-made modifications below

Title Cross-Eyed 2017 : Cross-Spectral Iris/Periocular Recognition Database and Competition
Author
Year 2017
PublicationType Conference Paper
Journal
HostPublication
Conference IEEE/IAPR International Joint Conference on Biometrics, IJCB, Denver, Colorado, USA, October 1-4, 2017
DOI
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:1129963
Abstract

Thisworkpresentsthe2ndCross-SpectrumIris/PeriocularRecognitionCompetition(Cross-Eyed2017).The main goal of the competition is topromote and evaluate advances in cross-spectrum iris andperiocular recognition.This second edition registeredan increase in the participation numbers ranging fromacademia to industry: five teams submitted twelve methodsfor the periocular task and five for the iris task. The bench-mark dataset is an enlarged version of the dual-spectrumdatabase containing both iris and periocular images syn-chronously captured from a distance and within a realisticindoor environment. The evaluation was performed on anundisclosed test-set. Methodology, tested algorithms, andobtained results are reported in this paper identifying theremaining challenges in path forward.