Synonyms
Liveness detection; Presentation attack detection; Spoofing countermeasures; Spoof detection; Spoof resistance; Vitality tests
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., latex or silicone finger). 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 fingerprint 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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References
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Galbally, J. (2015). Anti-spoofing, Fingerprint Databases. In: Li, S.Z., Jain, A.K. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7488-4_9115
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DOI: https://doi.org/10.1007/978-1-4899-7488-4_9115
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