APPLICATION OF SPARSE REPRESENTATION IN FINGERPRINT COMPRESSION

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Priya Bharti

Abstract

A sparse representation based algorithm is introduced in fingerprint compression. The existing compression system used for Fingerprint Images is not that efficient. As per my literature survey study, there is no method exist so far that use compressive sensing and adaptive learning dictionary to compresses image along with neural network to estimate the results. In the algorithm, we first construct a dictionary for predefined fingerprint image patches. For a new given fingerprint images, represent its patches according to the dictionary and then quantize and encode the representation.

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