Author(s)

Mohamed Sayed^*

Faculty of Computer Studies, Arab Open University, Kuwait City, Kuwait.

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.

Biometrics, Cryptography, Grobner Bases

Sayed, M. (2015) Grobner Bases Method for Biometric Traits Identification and Encryption. Journal of Information Security, 6, 241-249. doi: 10.4236/jis.2015.63024.