BACKGROUND Previous reports have suggested impairment in facial expression recognition in delinquents, but controversy remains with respect to how such recognition is impaired. To address this issue, we investigated facial expression recognition in delinquents in detail. METHODS We tested 24 male adolescent/young adult delinquents incarcerated in correctional facilities. We compared their per...

Facial expression recognition has different applications in the real world. We present a method to identify facial expressions taken from camera and build a parallel facial expression recognition system. A statistical technique such as Principal Component Analysis is used for dimensionality reduction and recognition and widely used for facial feature extraction and recognition. To test and eval...

This paper proposes a novel facial expression recognition method composed of two main steps: offline step and online step. The offline step selects the most salient facial patches using mutual information technique. The online step relies on the already selected patches to identify the facial expression using an SVM classifier. In both steps, the LBP operator was used to extract facial expressi...

Sparse coding is an active research subject in signal processing, computer vision, and pattern recognition. A novel method of facial expression recognition via non-negative least squares (NNLS) sparse coding is presented in this paper. The NNLS sparse coding is used to form a facial expression classifier. To testify the performance of the presented method, local binary patterns (LBP) and the ra...