Improving Face Recognition Systems Using a New Image Enhancement Technique, Hybrid Features and the Convolutional Neural Network
The performance of most face recognition systems (FRSs) in unconstrained environments is widely noted to be sub-optimal.One reason for this poor performance may be the lack of highly effective image pre-processing approaches, which are typically required before the feature extraction and classification Brake Flywheel stages.Furthermore, it is noted