Performance Evaluation of Left and Right Finger print Image Enhancement of Binarization Techniques in Multi-Level Approach (2017)
Thota Kesavarao, Dr. S. Ravi
JCR. 2017: 136-140
Abstract
A new fingerprint compression algorithm situated on sparse representation is introduced. Obtaining an over complete dictionary from a set of fingerprint patches allows for us to represent them as a sparse linear combo of dictionary atoms. Within the algorithm, we first construct a dictionary for predefined fingerprint image patches. For a new given fingerprint pix, symbolize its patches in step with the dictionary by way of computing l0-minimization and then quantize and encode the representation. In this paper, we do not forget the effect of various factors on compression results. Three groups of fingerprint photos are established. The experiments display that our algorithm is efficient in comparison with a few competing compression methods (JPEG, JPEG 2000, and WSQ), peculiarly at excessive compression ratios. The experiments additionally illustrate that the proposed algorithm is potent to extract trivia.
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