Anti-spoofing: Iris Databases
Synonyms
Definition
Anti-spoofing may be defined as the pattern recognition problem of automatically differentiating between real and fake biometric samples produced with a synthetically manufactured artifact (e.g., iris photograph or plastic eye). As with any other machine learning problem, the availability of data is a critical factor in order to successfully address this challenging task. Furthermore, such data should be public, so that the performance of different protection methods may be compared in a fully fair manner. This 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 public iris spoofing databases currently available.
Introduction
One of the key challenges faced by the rapidly evolving biometric industry is...
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