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Simultaneous biometric verification and random number generation

Chandran, Vinod & Chen, Brenden Chong (2006) Simultaneous biometric verification and random number generation. In Wysocki, Beata J. & Wysocki, Tadeusz A. (Eds.) The 5th Workshop on Internet, Telecommunications and Signal Processing, 11-13 December 2006, Hobart.

Abstract

A new method of simultaneous biometric verification and generation of a random number for use in authenticated encrypted communication is described. A non-linear transform is applied to a vector derived from a biometric. The output of the same dimension is fed back and the process iterated. At each iteration, the magnitude and phase of a scalar complexvalued inner product of the vector and its displacement from the previous iteration is extracted. It is shown that this product tends towards a certain limit along a trajectory in the complex plane. Both the limit and the trajectory depend on the initial condition which is the biometric vector. For close initial conditions the trajectories will initially remain close but separate exponentially. Magnitude and phase on the trajectory are converted into binary matrices. Entropy criteria are used to weight bits and verify identity. High entropy bits are selected for random number generation. The method was tested using 3D facial images from 61 persons in the Face Recognition Grand Challenge (FRGC) database. An Equal Error Rate of 15.5% was achieved and random numbers of length 512 bits could be generated that satisfied standard tests for randomness. The method can be further developed to generate private keys from low intra-class entropy bits and session keys from the unconditionally random bits on presentation of a biometric without the need to store them.

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ID Code: 20083
Item Type: Conference Paper
Keywords: Biometrics, Random number, Verification, Face, Cryptography
ISBN: 0975693425
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2006 [please consult the authors]
Deposited On: 24 Apr 2009 12:52
Last Modified: 29 Feb 2012 23:22

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