Face Recognition Classifier Design Based on the Genetic Algorithm and Neural Network

Na Li; Peng He; Qian Zhao

doi:10.4028/www.scientific.net/AMR.998-999.869

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 998-999Face Recognition Classifier Design Based on the...

Face Recognition Classifier Design Based on the Genetic Algorithm and Neural Network

Abstract:

In the course of the face feature match, many classifiers have been designed. The neural network is usually selected as a classifier because of its validity and universality, whereas its training time, training epochs, and its convergence, all are not satisfied to us. It is often influenced by the author’s experience. In the case, a collaborative genetic algorithm and neural network is presented as a new face recognition classifier. The one thing is to train the NN weights by the GA until the stopping criterion is met, and the next thing is to use the BP algorithm to continue to train the network. The training time and training epochs have been improved in the experiment of the face recognition on ORL face database. The simulation shows the validity of methods.