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

Pullela SVVSRKumar | Zendy; J. V. R. Murthy | Zendy; V. Srinidhi | Zendy

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

Author(s) -

Pullela SVVSRKumar,

J. V. R. Murthy,

V. Srinidhi

Publication year - 2014

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/15780-4480

Subject(s) - computer science , grey level , artificial intelligence , pixel , pattern recognition (psychology) , matrix (chemical analysis) , materials science , composite material

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). General Terms Classification, Image Processing et. al.

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