Random subspace for an improved BioHashing for face authentication

Authors:
Loris Nanni;Alessandra Lumini
Affiliations:
DEIS, IEIIT - CNR, Universití di Bologna, Viale Risorgimento 2, 40136 Bologna, Italy;DEIS, IEIIT - CNR, Universití di Bologna, Viale Risorgimento 2, 40136 Bologna, Italy
Venue:
Pattern Recognition Letters
Year:
2008

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Abstract

Verification based on tokenised pseudo-random numbers and user specific biometric feature has received much attention. In this paper, we propose a BioHashing system for automatic face recognition based on Fisher-based Feature Transform, a supervised transform for dimensionality reduction that has been proved to be very effective for the face recognition task. Since the dimension of the Fisher-based transformed space is bounded by the number of classes - 1, we use random subspace to create K feature spaces to be concatenated in a new higher dimensional space, in order to obtain a big and reliable ''BioHash code''.