Face recognition: An Ensemble Neural Networks with Co-Evolutionary Algorithm Approach

Faces represent complex, multidimensional, meaningful visual stimuli and developing a computational model for face recognition is difficult. We present an Ensemble Neural Network (Neural-Fusion) solution which compares favorably with other methods. We propose a co-evolutionary system to design Neural Networks Ensemble. This method addresses the issues of automatic determination of the number of individual NNs in an ensemble and the exploitation of the interaction between individual NN design and combination. Experiments on Two face databases demonstrate that the proposed method can produce NN ensembles with good generalization ability.