Size invariant shape recognition by modulated competitive neural circuit Online publication date: Fri, 20-Apr-2007
by Lai Si Wu, Lakhmi Jain
International Journal of Information and Communication Technology (IJICT), Vol. 1, No. 1, 2007
Abstract: This paper addresses the problem of size invariant shape recognition based on scale transformation within a modulated competition neural layer. In this paper we discuss the advantages of the application of a neural network to pattern recognition and study how the traditional automatic target recognition can fail to recognise a known pattern due to either a size change or background clutter and distortion. The model construction is based on neurophysiology experiments on vision systems. The Neural Circuit Simulation studies undertaken demonstrate the effectiveness of the proposed model in recognising 2D objects in non-ideal visual conditions.
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