Sparse Representation Approach for Variation-Robust Face Recognition Using Discrete Wavelet Transform
Seroualia Rania, MohamedYoussri El-Nahas · 2012
Face recognition has become one of the most challenging tasks in the pattern recognition field and it is very important for many applications such as: video surveillance, forensic app lications criminal investigations, and in many other fields it is also very useful. In this paper we are using sparse representation app roach based on discrete wavelet transform (DWT) to achieve more robustness to variation in light ing, directions and expressions, because sparse representation does not exterminate obstacles posed by several practical issues, such as lighting, pose, and especially facial expressions, which tend to distort almost all the features and can thus compromise the accuracy of sparse representation. The result of new proposed approach is compared with sparse representation approach to show that the proposed approach is more robust to illumination, direction and expression variations than sparse representation.