Age Classification with Motif Shape Patterns on Local Binary Pattern

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2016 by IJCTT Journal
Volume-39 Number-3
Year of Publication : 2016
Authors : P Chandra Sekhar Reddy, Bhanu Sreekar Reddy Karumuri
  10.14445/22312803/IJCTT-V39P123

MLA

P Chandra Sekhar Reddy, Bhanu Sreekar Reddy Karumuri "Age Classification with Motif Shape Patterns on Local Binary Pattern". International Journal of Computer Trends and Technology (IJCTT) V39(3):134-138, September 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Age classification from facial images into different age groups is increasingly receiving attention in age based computer vision applications. Humans also cannot classify people into different age groupsprecisely. To address this problem, the present paper proposes an innovative method of agegroup classification based on motif shape patterns on thelocal binary pattern. LBP on theimage is computed and motif shape patterns are evaluated on this LBP image. The change of age of different persons can be observed with these shape patterns. The proposed method is evaluated on facial image datasets FG-Net and other scanned images. The experimental results demonstrate the excellent performance of our proposed method against the other existing methods.

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Keywords
Age classification, LBP, Motif shape patterns.