Research of face image recognition based on probabilistic neural networks

This paper introduces the principle of probabilistic neural networks (PNN) algorithm and its application in face image recognition. After wavelet decomposition and discrete cosine transform, the image features of face image are extracted. Then the features are sent respectively into BP neural networks, LVQ neural networks and PNN neural networks for image recognition. ORL face image database is used in simulation experiments. Through analyzing and comparing the simulation results and recognition accuracy, conclusions are obtained of the advantage and characteristic of each neural networks. PNN neural networks show the highest recognition accuracy, thus it can be the optimal choice for image recognition.