Cranio-maxillo-facial Image Date Fusion Based on RBF Neural Network

This paper analyzes a new biological object cranio-maxillo-facial image and set the shape feature and texture features as invariant moments. In this paper we use wavelet packet extract texture features. After the extraction of cranio-maxillo-facial multi-feature information, RBF neural network is used to be the diverse characteristics of the craniofacial data fusion and recognition judgment. The experimental results show that information fusion algorithm based on RBF neural network can effectively identify cranio-maxillo-facial individuals and have high recognition accuracy than single characteristic.