Face Recognition for Expressive Face Images

In this paper, we deal with a face recognition method for the expressive face images. Since the face recognition is one of the most natural and straightforward biometric methods, there have been various research works. However, most of them are focused on the expressionless face images. In real situations, however, it is required to consider the emotional face images. Here, three basic human emotions such as happiness, sadness, and anger are investigated. The face recognition becomes a very difficult problem if we consider the facial expression. This situation requires a robust face recognition algorithm. So, we use a fuzzy linear discriminant (LDA) algorithm with the wavelet transform. The fuzzy LDA is a statistical method that maximizes the ratio of between-scatter matrix and within-scatter matrix and also handles the fuzzy class information.