期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2016
卷号：39
期号：3
页码：134-138
DOI：10.14445/22312803/IJCTT-V39P123
出版社：Seventh Sense Research Group
摘要：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 FGNet and other scanned images. The experimental results demonstrate the excellent performance of our proposed method against the other existing methods.
