Blur and Motion Blur Influence on Face Recognition Performance

Face recognition is still one of the most popular biometric recognition techniques. It is widely used, both online and offline. Performance of such a system is directly connected to face image quality. Since blur and motion blur are common imagery problems, this paper explores the influence of such disturbances on the face recognition performance. The research described in this paper compares the performance of the face recognition algorithm based on the Haar features and Local Binary Patterns Histograms when it uses face images of a good quality, images with added Gaussian blur and motion blur, as well as enhanced images.