期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN:2347-6710
电子版ISSN:2319-8753
出版年度:2016
卷号:5
期号:6
页码:11855
DOI:10.15680/IJIRSET.2016.0506306
出版社:S&S Publications
摘要:Facial expression recognition is a research issue. An Age classification is one of a facial expressionrecognition system and it is based on facial representation from human face images. In this paper we are usingclassification system for gray-scale facial images. The present paper proposes procedure for extracting the local texturefeatures on a facial image. In this paper, the Motif Patterns are used for extracting the texture features which areidentified on a Local Directional Pattern (LDP) values. The present paper uses seven (7) different motif patterns andthe patterns starting from the top left corner pixel and scan is should be related to the incremental order. Based on thepatterns count the facial image is classified into one of the five categories. i.e. Child (0 to 10years), Young (11 to 25years), Adult (26-40), senior (41 to 60 years), and Senior Adult Age (>60 years). It shows high rate of classificationwhen compare with the other existing methods.
关键词:Motif Pattern; Local Directional Pattern; Age group Classification; Facial Image; Human Face.