• Nesli ErdoğmuşEmail author
  • Sébastien Marcel
Part of the Advances in Computer Vision and Pattern Recognition book series (ACVPR)

In a well-designed system, biometric security ensures that only authorized persons can access to the protected facility or information, because it assesses a person’s most unique physical and behavioural features that can be practically sensed by devices and interpreted by computers. It is also convenient as the users need to carry or remember identification data is eliminated. Mainly driven by the biometrics passports that are currently in use in many countries, more and more biometric-enabled applications are used in daily life. However, despite a stimulating and rapidly growing market, a crucial security issue is still to be considered by concerning parties: vulnerability to attacks, in other words, attempts to subvert and circumvent the system.

It has been shown recently that conventional biometric techniques, such as fingerprint or face recognition are prone to one of the most potent and damaging threats involving personal Data-Identity fraud, mostly known as spoofing.



Speaker Recognition Biometric System False Acceptance Rate Face Recognition System Biometric Trait 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The authors would like to thank the TABULA RASA ( and BEAT projects ( funded under the 7th Framework Programme of the European Union (EU) (grant agreement numbers 257289 and 284989) and the Swiss Center for Biometrics Research and Testing ( for their support.


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Copyright information

© Springer-Verlag London 2014

Authors and Affiliations

  1. 1.Idiap Research InstituteMartignySwitzerland

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