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Reseach Article

Biometrics : Analysis of Fingerprint using Hybrid Transformations

by Amanpreet Kaur, Rekha Vig, Swaran Ahuja
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 144 - Number 2
Year of Publication: 2016
Authors: Amanpreet Kaur, Rekha Vig, Swaran Ahuja
10.5120/ijca2016910115

Amanpreet Kaur, Rekha Vig, Swaran Ahuja . Biometrics : Analysis of Fingerprint using Hybrid Transformations. International Journal of Computer Applications. 144, 2 ( Jun 2016), 20-23. DOI=10.5120/ijca2016910115

@article{ 10.5120/ijca2016910115,
author = { Amanpreet Kaur, Rekha Vig, Swaran Ahuja },
title = { Biometrics : Analysis of Fingerprint using Hybrid Transformations },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2016 },
volume = { 144 },
number = { 2 },
month = { Jun },
year = { 2016 },
issn = { 0975-8887 },
pages = { 20-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume144/number2/25152-2016910115/ },
doi = { 10.5120/ijca2016910115 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:46:34.021799+05:30
%A Amanpreet Kaur
%A Rekha Vig
%A Swaran Ahuja
%T Biometrics : Analysis of Fingerprint using Hybrid Transformations
%J International Journal of Computer Applications
%@ 0975-8887
%V 144
%N 2
%P 20-23
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A biometric system is a secured recognition system that is used for the establishment of the personal identification of the individuals using their biometrics which are unique features and make the system more authentic. Our aim, here is to build such a system which gives more accurate confirmation of the individual identities. In this paper, we have used one biometric trait i.e. fingerprint for identification. The features of fingerprints have been extracted using different combinations of existing transforms generated by the Kroneckar product of two transforms at a time to form hybrid transform. The existing orthogonal transforms which are used here are DCT, DFT, Walsh, Haar and Kekre. By generating the energy matrix and extracting the features by varying the energy threshold from 95% to 99.99% efficiency of the fingerprint biometric system obtained is up to 94.64% with the hybrid transform (DCT and Walsh combination).

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Index Terms

Computer Science
Information Sciences

Keywords

Biometrics Recognition Transformations Wavelets Kroenecker product Hybrid transform Fingerprint.