INDIAN BANKNOTE DETECTION USING PCA
Atul Antil
Undergraduate Student, University of California, Sandiego, US
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This paper gives a quick strategy to perceive an assortment of Indian banknotes at various scales. In this procedure, the PCA, LDA and sparse representation techniques are used at highlight extraction arrange and pursues with MLP neural systems, LVQ, and SOM in characterization. At last, the use of inadequate grid portrayal technique and mix of both SOM and LVQ neural systems would prompt the best proficiency with the exactness of 91.15% in acknowledgment of Indian banknotes especially the well-used ones.