计算机工程与应用Issue(23)：163-166,224,5.DOI:10.3778/j.issn.1002-8331.1403-0189
基于Gabor-ILLE的多姿态人耳识别
Multi-pose ear recognition based on Gabor wavelet and improved locally linear embedding algo-rithm
雷军环1
作者信息
- 1. 长沙民政职业技术学院 软件学院，长沙 410004
- 折叠
摘要
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 ex-tracted 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 ex-periment 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.关键词
人耳识别/局部线性嵌入/Gabor小波/特征提取Key words
ear recognition/locally linear embedding/Gabor wavelets/features extraction分类
信息技术与安全科学引用本文复制引用
雷军环..基于Gabor-ILLE的多姿态人耳识别[J].计算机工程与应用,2014,(23):163-166,224,5.
