Completed Robust Local Binary Pattern Texture Descriptor for Classification of Facial Expression
S. Nagaraja · International Journal of Latest Technology in Engineering Management & Applied Science · 2024
In this paper, we presented a method for representing facial expressions by extracting texture features from Completed Robust Local Binary Pattern (CRLBP). Completed Robust Local Binary Pattern, which is resistant to noise and changes in lighting conditions, is used to generate consistent texture features. These features are then combined to create a feature vector that represents facial expressions. The suggested approach is assessed by conducting facial expression recognition using a standardized database like JAFFE. The process of identifying facial expressions is carried out by using a chi-square distance measure along with a nearest-neighbor classifier. The findings from our experiment demonstrate that our method is more effective than other widely used LBP approaches.