Full metadata record
DC FieldValueLanguage
dc.contributor.authorGALBALLY HERRERO JAVIERen_GB
dc.contributor.authorBORI TOTH A.en_GB
dc.date.accessioned2015-08-04T00:01:24Z-
dc.date.available2015-08-03en_GB
dc.date.available2015-08-04T00:01:24Z-
dc.date.created2014-11-13en_GB
dc.date.issued2014en_GB
dc.date.submitted2013-11-19en_GB
dc.identifier.isbn978-3-642-27733-7en_GB
dc.identifier.urihttp://link.springer.com/referenceworkentry/10.1007/978-3-642-27733-7_9050-2en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC86074-
dc.description.abstractAnti-spoofing may be defined as the pattern recognition problem of automatically differentiating between real and fake biometric samples produced with a synthetically manufactured artefact (e.g., iris photograph or plastic eye). As in any other machine learning problem the availability of data is a critical factor to be able to successfully address this challenging task. Furthermore, these data should be public, so that the performance of different protection methods may be compared in a fully fair manner. The present entry describes general concepts regarding spoofing dataset acquisition and particularizes them to the field of iris recognition. It also gives a summary of the most important features of the current publicly available iris spoofing databases.en_GB
dc.description.sponsorshipJRC.G.6-Digital Citizen Securityen_GB
dc.format.mediumOnlineen_GB
dc.languageENGen_GB
dc.publisherSpringer USen_GB
dc.relation.ispartofseriesJRC86074en_GB
dc.titleAnti-spoofing: Iris Databasesen_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.1007/978-3-642-27733-7_9050-2en_GB
JRC Directorate:Space, Security and Migration

Files in This Item:
There are no files associated with this item.


Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.