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Reseach Article

Fingerprint Compression using Sparse Representation

by Priya Bharti
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 3
Year of Publication: 2017
Authors: Priya Bharti
10.5120/ijca2017915908

Priya Bharti . Fingerprint Compression using Sparse Representation. International Journal of Computer Applications. 179, 3 ( Dec 2017), 32-36. DOI=10.5120/ijca2017915908

@article{ 10.5120/ijca2017915908,
author = { Priya Bharti },
title = { Fingerprint Compression using Sparse Representation },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2017 },
volume = { 179 },
number = { 3 },
month = { Dec },
year = { 2017 },
issn = { 0975-8887 },
pages = { 32-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number3/28719-2017915908/ },
doi = { 10.5120/ijca2017915908 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:54:22.382169+05:30
%A Priya Bharti
%T Fingerprint Compression using Sparse Representation
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 3
%P 32-36
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Biometric identification systems are in use for last many years for the purpose of personal identification, uncompressed graphics, audio and video data require considerable storage capacity and transmission bandwidth dealing with such enormous amount of information can often present difficulties. As per my literature survey, there is no such method that uses compressive sensing and adaptive learning dictionary to compress image along with neural network to estimate the results. In the given algorithm, a dictionary of predefined fingerprint patches is constructed which is than quantized and encoded.

References
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  5. Criminal Justice Information Services Division, ‘Gray-Scale Fingerprint Image Compression Specification’, Federal Bureau of Investigation,2010
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  7. V. Conti, C.Militello, F.Sorbello,et.al. “Introducing Pseudo Singularity Points for Efficient Fingerprints Classification and Recognition,” IEEE International Conference on Complex, Intelligent and Software Intensive Systems, pp. 368-375,2010.
Index Terms

Computer Science
Information Sciences

Keywords

Minutiae Sparse representation Image separation Standard Deviation.