期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2016
卷号：85
期号：2
出版社：Journal of Theoretical and Applied
摘要：Age classification has many useful applications, such as finding lost children, age-based face classification, surveillance monitoring, and face recognition. That�s why automatic age classification has become one of the challenging tasks in recent years and gained lot of attention from the research community. The present research derived a rotational invariant method by considering the rotational invariant local binary pattern (riLBP) that captures the local information of the facial images significantly. On this, shape features are evaluated using textons. On this GLCM features are derived to classify age in to four groups on FG-NET database using various classifiers. The results are compared with other methods and a comparison is made among the various classifiers.
关键词：Local binary pattern; Textons; Grey level co-occurrence matrix features; Classifiers; FG-NET data base
