Anti-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.
GALBALLY HERRERO Javier;
BORI TOTH A.;
2015-08-03
Springer US
JRC86074
978-3-642-27733-7,
http://link.springer.com/referenceworkentry/10.1007/978-3-642-27733-7_9050-2,
https://publications.jrc.ec.europa.eu/repository/handle/JRC86074,
10.1007/978-3-642-27733-7_9050-2,
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