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Reseach Article

A Machine Learning Approach for Enhanced Fingerprint Recognition Technique

by Heli Shah, Rajat Arora
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 176 - Number 6
Year of Publication: 2017
Authors: Heli Shah, Rajat Arora
10.5120/ijca2017915627

Heli Shah, Rajat Arora . A Machine Learning Approach for Enhanced Fingerprint Recognition Technique. International Journal of Computer Applications. 176, 6 ( Oct 2017), 19-23. DOI=10.5120/ijca2017915627

@article{ 10.5120/ijca2017915627,
author = { Heli Shah, Rajat Arora },
title = { A Machine Learning Approach for Enhanced Fingerprint Recognition Technique },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2017 },
volume = { 176 },
number = { 6 },
month = { Oct },
year = { 2017 },
issn = { 0975-8887 },
pages = { 19-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume176/number6/28556-2017915627/ },
doi = { 10.5120/ijca2017915627 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:41:49.106964+05:30
%A Heli Shah
%A Rajat Arora
%T A Machine Learning Approach for Enhanced Fingerprint Recognition Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 6
%P 19-23
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the increasing awareness about the security systems, there has been a development of different types of biometric systems in this field. One of the most common and cost effective biometric systems is Fingerprint Biometrics. Enhanced Fingerprint Identification Technique describes mathematical algorithms to overcome the limitations faced while using the conventional fingerprint biometric systems. Enhanced Fingerprint Identification Technique provides improvised and efficient recognition process. Lumidigm sensor, captures images of skin at different wavelengths, has been used to get a multispectral image of fingerprint. GLCM algorithm is used for extracting features from the acquired fingerprint image. DTW Comparison is used for identification and verification process. Machine learning based amalgamated algorithms will overcome the hindrance faced in the recognition process while using the conventional fingerprint scanner.

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Index Terms

Computer Science
Information Sciences

Keywords

Fingerprint GLCM algorithm Dynamic Time Warping algorithm fingerprint spoofing biometric system