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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/278

Title: Face recognition using probabilistic neural networks
Authors: Santhosh Kumar, G
Vinitha, K V
Keywords: computational geometry
face recognition
image matching
mesh generation
neural net architecture
Issue Date: 19-Jun-2009
Abstract: 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 images. The advantage of classification using PNN models is its short training time. The correlation based template matching guarantees good classification results.
URI: http://hdl.handle.net/123456789/278
Appears in Collections:International Conferences

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