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The primary objective of this paper is to explore the applicability of sparse representation based classification (SRC), particularly at the fingerprint recognition problem. This paper proposes sparse proximity based fingerprint matching methodology. The sparse representation based classification problem can be solved as representing the test sample in terms of training set with some sparse residual...
This paper addresses the image denoising problem using the recent advancements in sparse representation based image restoration. This novel approach is based on sparse coding using a pre-learned coupled dictionary. Prior research suggests that it is possible to represent every image patch as a sparse linear combination of dictionary elements learned from a set of example patches. Joint training of...
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