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Teoh, A., Gho, A. and Ngo, D. (2006) Random Multispace Quantization as an Analytic Mechanism for Biohashing of Biometric and Random Identity Inputs. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28, 1892-1901. http://dx.doi.org/10.1109/TPAMI.2006.250

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.