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

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 90 - Number 13
Year of Publication: 2014
Pullela S V V S R Kumar
J V R Murthy
V V Sahiti Srinidhi

Pullela S V V S R Kumar, J V R Murthy and Sahiti V V Srinidhi. Article: Age Classification based on Corner Pixel Grey Level Co-Occurrences Matrix (CP-GLCM) of TN-LBP. International Journal of Computer Applications 90(13):20-26, March 2014. Full text available. BibTeX

	author = {Pullela S V V S R Kumar and J V R Murthy and V V Sahiti Srinidhi},
	title = {Article: Age Classification based on Corner Pixel Grey Level Co-Occurrences Matrix (CP-GLCM) of TN-LBP},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {90},
	number = {13},
	pages = {20-26},
	month = {March},
	note = {Full text available}


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).


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