IEEE Trans Image Process - Fingerprint Compression Based on Sparse Representation.

Tópicos

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Resumo

A new fingerprint compression algorithm based on sparse representation is introduced. Obtaining an overcomplete dictionary from a set of fingerprint patches allows us to represent them as a sparse linear combination of dictionary atoms. 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 by computing l(0)-minimization and then quantize and encode the representation. In this paper, we consider the effect of various factors on compression results. Three groups of fingerprint images are tested. The experiments demonstrate that our algorithm is efficient compared with several competing compression techniques (JPEG, JPEG 2000, and WSQ), especially at high compression ratios. The experiments also illustrate that the proposed algorithm is robust to extract minutiae.

Resumo Limpo

new fingerprint compress algorithm base spars represent introduc obtain overcomplet dictionari set fingerprint patch allow us repres spars linear combin dictionari atom algorithm first construct dictionari predefin fingerprint imag patch new given fingerprint imag repres patch accord dictionari comput lminim quantiz encod represent paper consid effect various factor compress result three group fingerprint imag test experi demonstr algorithm effici compar sever compet compress techniqu jpeg jpeg wsq especi high compress ratio experi also illustr propos algorithm robust extract minutia

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