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Face recognition using probabilistic neural networks
2009
2009 World Congress on Nature & Biologically Inspired Computing (NaBIC)
In this paper we address the problem of face detection and recognition of grey scale frontal view images. We propose a face recognition system based on probabilistic neural networks (PNN) architecture. The system is implemented using voronoi/ delaunay tessellations and template matching. Images are segmented successfully into homogeneous regions by virtue of voronoi diagram properties. Face verification is achieved using matching scores computed by correlating edge gradients of reference
doi:10.1109/nabic.2009.5393716
dblp:conf/nabic/VinithaK09
fatcat:ym4ubtzrabep7leqi6bij76hvy