关键词: 多姿态人耳, 曲波变换, 特征提取, 局部线性嵌入, RBF神经网络

Abstract: In order to improve the recognition rate of ear, a novel ear recognition algorithm is proposed based on improved locally linear embedding algorithm. Firstly, the ear features are extracted by Curvelet transform, and then the improved LLE is used to reduce dimensionality of features and select the optimal features of ear recognition, finally RBF neural network support vector machine is used to establish the classifier of human ear recognition, and the simulation experiment is carried out on USTB3 ear images. Compared with the reference methods, the proposed algorithm has obtained higher ear recognition rate, and the experimental results verify the effectiveness.

Key words: multi-ear, curvelet transform, features extraction, locally linear embedding, RBF neural network