期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2014
卷号：11
期号：4
出版社：IJCSI Press
摘要：This paper presents a local feature descriptor, the Local Distinctive Star Pattern (LDSP), for facial expression recognition. The feature is obtained from a local 3x3 pixels area by computing the directional edge response value. Each pixel is represented by two 4-bit binary patterns, which is named as LDSP feature for that pixel. Each face is divided into 81 equal sized blocks and histogram of LDSP codes from those blocks are concatenated to build the feature vector for classification. The recognition performance of our descriptor is tested on popular JAFFE dataset with Support vector Machine (SVM) as classifier. Extensive experimental results with prototype expressions show that proposed LDSP descriptor is superior to existing appearance-based feature descriptor in terms of classification accuracy on static image.
