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Enhanced Fingernail Recognition based on GLCM, SIFT and NN

by Silky, Sonika Jindal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Number 26
Year of Publication: 2018
Authors: Silky, Sonika Jindal
10.5120/ijca2018916597

Silky, Sonika Jindal . Enhanced Fingernail Recognition based on GLCM, SIFT and NN. International Journal of Computer Applications. 180, 26 ( Mar 2018), 18-22. DOI=10.5120/ijca2018916597

@article{ 10.5120/ijca2018916597,
author = { Silky, Sonika Jindal },
title = { Enhanced Fingernail Recognition based on GLCM, SIFT and NN },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2018 },
volume = { 180 },
number = { 26 },
month = { Mar },
year = { 2018 },
issn = { 0975-8887 },
pages = { 18-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume180/number26/29120-2018916597/ },
doi = { 10.5120/ijca2018916597 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:01:50.872960+05:30
%A Silky
%A Sonika Jindal
%T Enhanced Fingernail Recognition based on GLCM, SIFT and NN
%J International Journal of Computer Applications
%@ 0975-8887
%V 180
%N 26
%P 18-22
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Biometric validation innovations, for example, unique mark, face, iris, and vein, have been across the board in numerous applications from singular convenient gadgets to national ID administration frameworks. Besides, moderately more up to date biometric validation modalities including eye development, lip-movement, and so on, have been additionally looked into and created keeping in mind the end goal to enhance confirmation exactness and an ease of use of a biometric verification framework. What's more, some these sorts of modalities are powerful as a liveness identification strategy, which cannot just enhance verification exactness in customary biometric confirmation frameworks, yet additionally diminish dangers with respect to hostile to mocking assaults. This paper propose a GSN (GLCM, SIFT, NN) based finger nail recognition technique. GLCM is used for feature extraction; SIFT for Key-point extraction and NN for recognition.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Biometric Authentication Finger Nail Recognition GLCM SIFT NN Feature Extraction.

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