Anti-spoofing: Iris Databases

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,