Local Gray Code Pattern (LGCP): A Robust Feature Descriptor for Facial Expression Recognition

Mohammad Shahidul Islam

Abstract: This paper presents a new local facial feature descriptor, Local Gray Code Pattern (LGCP), for facial expression recognition in contrast to widely adopted Local Binary pattern. Local Gray Code Pattern (LGCP) characterizes both the texture and contrast information of facial components. The LGCP descriptor is obtained using local gray color intensity differences from a local 3x3 pixels area weighted by their corresponding TF (term frequency). I have used extended Cohn-Kanade expression (CK+) dataset and Japanese Female Facial Expression (JAFFE) dataset with a Multiclass Support Vector Machine (LIBSVM) to evaluate proposed method. The proposed method is performed on six and seven basic expression classes in both person dependent and independent environment. According to extensive experimental results with prototypic expressions on static images, proposed method has achieved the highest recognition rate, as compared to other existing appearance-based feature descriptors LPQ, LBP, LBPU2, LBPRI, and LBPRIU2.

Keywords: Expression Recognition, Image Processing, Local Feature, Pattern Recognition, CK+, JAFFE, Computer Vision

How to Cite?: Mohammad Shahidul Islam, "Local Gray Code Pattern (LGCP): A Robust Feature Descriptor for Facial Expression Recognition", Volume 2 Issue 8, August 2013, International Journal of Science and Research (IJSR), Pages: 413-419, https://www.ijsr.net/getabstract.php?paperid=02013287, DOI: https://dx.doi.org/10.21275/02013287