Low resolution face recognition using Mixture of Experts with different representations

This paper illustrates the use of Mixture of Experts technique to solve low resolution faces recognition problem. Proposed method is based on extracting diverse features from low resolution images using three well known feature extractors; PCA, DCT and FFT, and applying ME architecture on the output vector of each feature extractor. The experimental results prove our claims that this method is superior to many similar methods such as Stacked Generalization-Based methods. By the way, this method is faster than Stacking. The enhancement in performance of the proposed method than Stacked Generalization was 1% on the same database.