Expression Recognition Based on Genetic Algorithm and SVM

In this paper, a novel expression recognition scheme is presented. Our method uses Equable Principal Component Analysis (EPCA) as expression features representation and employs Support Vector Machine (SVM) based on Genetic Algorithm(GA) as expression classifier. EPCA can reduce the dimensions of feature vectors; and GA can select excellent SVM kernel function. Experiments of human are performed on the JAFFE and Yale database, and compared to the nearest classifier, our method can get better recognition ratio.

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