Optimization of decision making for face recognition based on nonlinear correlation plane - Archive ouverte HAL
Article Dans Une Revue Optics Communications Année : 2015

Optimization of decision making for face recognition based on nonlinear correlation plane

Résumé

We report on a specific procedure in the correlation plane which allows us to make more robust and discriminating decision for face recognition applications. In this scheme, we multiply the correlation plane by a nonlinear function which is chosen to increase the correlation peak, reduce the autocorrelation noise, and increase the inter-correlation noise. In our work we present tests using a VanderLugt correlator (VLC) fabricated with different filters (phase-only filter (POF), composite POF) and we also discuss the efficiency of the protocol using peak-to-correlation-energy measures. Rewardingly, our technical results demonstrate that this method is remarkably efficient to increase both robustness and discrimination performances of a VLC.
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Dates et versions

hal-01273008 , version 1 (11-02-2016)

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Ayman Alfalou, C. Brosseau, W. Kaddah. Optimization of decision making for face recognition based on nonlinear correlation plane. Optics Communications, 2015, 343 (343), pp.22-27. ⟨10.1016/j.optcom.2015.01.017⟩. ⟨hal-01273008⟩
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