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Reseach Article

Age Classification based on Corner Pixel Grey Level Co-Occurrences Matrix (CP-GLCM) of TN-LBP

by Pullela S V V S R Kumar, J V R Murthy, V V Sahiti Srinidhi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 90 - Number 13
Year of Publication: 2014
Authors: Pullela S V V S R Kumar, J V R Murthy, V V Sahiti Srinidhi
10.5120/15780-4480

Pullela S V V S R Kumar, J V R Murthy, V V Sahiti Srinidhi . Age Classification based on Corner Pixel Grey Level Co-Occurrences Matrix (CP-GLCM) of TN-LBP. International Journal of Computer Applications. 90, 13 ( March 2014), 20-26. DOI=10.5120/15780-4480

@article{ 10.5120/15780-4480,
author = { Pullela S V V S R Kumar, J V R Murthy, V V Sahiti Srinidhi },
title = { Age Classification based on Corner Pixel Grey Level Co-Occurrences Matrix (CP-GLCM) of TN-LBP },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 90 },
number = { 13 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 20-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume90/number13/15780-4480/ },
doi = { 10.5120/15780-4480 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:10:57.134837+05:30
%A Pullela S V V S R Kumar
%A J V R Murthy
%A V V Sahiti Srinidhi
%T Age Classification based on Corner Pixel Grey Level Co-Occurrences Matrix (CP-GLCM) of TN-LBP
%J International Journal of Computer Applications
%@ 0975-8887
%V 90
%N 13
%P 20-26
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The present paper proposes a novel scheme based on third order neighbourhood LBP (TN-LBP). The present paper observed and noted that the TN-LBP forms two types of corner pixels i. e. top corner and bottom corner pixels. The present paper derived Grey Level Co-occurrence Matrix (GLCM) based on LBP values of Top Corner Pixels (TCP) of TN-LBP and Bottom Corner Pixels (BCP) of TN-LBP. On this GLCM features are derived. Based on these features human age is classified in to child (0 to 12 years) young adult (13 to 30 years), middle age (31 to 50 years) and senior age (above 60 years).

References
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Index Terms

Computer Science
Information Sciences

Keywords

Age Classification Local Binary Pattern (LBP). Third Order Neighborhood Corner Pixel Grey Level Co-occurrence Matrix (CP-GLCM)