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Tome, P., Vanoni, M. and Marcel, S. (2014) On the Vulnerability of Finger Vein Recognition to Spoofing. IEEE International Conference of the Biometrics Special Interest Group (BIOSIG), 230.

has been cited by the following article:

• TITLE: Grobner Bases Method for Biometric Traits Identification and Encryption

  AUTHORS: Mohamed Sayed

  KEYWORDS: Biometrics, Cryptography, Grobner Bases

  JOURNAL NAME: Journal of Information Security, Vol.6 No.3, July 24, 2015

  ABSTRACT: Biometric identification systems are principally related to the information security as well as data protection and encryption. The paper proposes a method to integrate biometrics data encryption and authentication into error correction techniques. The normal methods of biometric templates matching are replaced by a more powerful and high quality identification approach based on Grobner bases computations. In the normal biometric systems, where the data are always noisy, an approximate matching is expected; however, our cryptographic method gives particularly exact matching.