Abstract: This study presents a brief processing of ear identification and making an improvement of ear recognition via combination of Iterative Closest Point (ICP) algorithm with the Stochastic Clustering Method (SCM). The objective of this study is to enhance the matching template scheme using BPNN based on the ICP algorithm combined SCM method. An effective SLLE (Supervised Locality Linear Embedding) variation for ear recognition was designed based on JAVA programming language. The software provides basic functions for ear identification analysis by using two kinds of algorithm, respectively. In particular, the combined method provides effective identification through BPNN environment condition. Analysis results are expressed realistically through different database. Finally, with the application of ICP and SCM based multilayer neutral network to identify 20 ear images, the experiment results shows 96.12% accuracy.