关键词: 人耳识别, 局部线性嵌入, Gabor小波, 特征提取

Abstract: LLE algorithm is very sensitive to the change of attitude and neighbor points, a novel ear recognition algorithm （Gabor-ILLE） based on Gabor wavelet and improved LLE algorithm is proposed in this paper. The ear features are extracted by Gabor transform, and then the improved LLE is used to reduce dimensionality of features and select the optimal Gabor features of ear recognition, KNN 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 of the Gabor-ILLE algorithm.

Key words: ear recognition, locally linear embedding, Gabor wavelets, features extraction