Partial face recognition using radial basis function networks

The paper describes a face recognition system that uses partial face images (for example, eye, nose, and ear images) for input data. The recognition technique is based on using radial basis function (RBF) networks. As compared with using a standard backpropagation (BP) learning algorithm, the RBF networks are far superior for the face recognition task. From the experimental results of face recognition by partial face image data on a database of over 100 persons, we have achieved a recognition accuracy rate of 100% for the recognition of registered persons and a rejection rate of 100% for the rejection of unknown samples.