Face recognition is an important application of image processing and a recent paper has compared various methods of processing images of faces. The best of these methods is a complicated linear projection based system, which successfully copes with images having variable expressin, pose and facial lighting. This paper considers how a simple weghtless neural network, with simple preprocessing, compares witht he more complicated method.
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