Discriminative projection selection based face image hashing

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Abstract

Face image hashing is an emerging method used in biometric verification systems. In this paper, we propose a novel face image hashing method based on a new technique called discriminative projection selection. We apply the Fisher criterion for selecting the rows of a random projection matrix in a user-dependent fashion. Moreover, another contribution of this paper is to employ a bimodal Gaussian mixture model at the quantization step. Our simulation results on three different databases demonstrate that the proposed method has superior performance in comparison to previously proposed random projection based methods.

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• Discriminative projection selection based face image hashing. (deposited 24 Dec 2011 16:00)
  • Discriminative projection selection based face image hashing. (deposited 22 Jun 2012 15:07) [Currently Displayed]