摘要
针对人耳生物特征,通过分析早期人耳识别方法的不足,提出了一种局部线性嵌入(LLE)和最近特征线(NFL)相结合的人耳识别方法。首先依据流形学习思想,采用局部线性嵌入算法提取人耳图像特征,然后采用最近特征线分类器进行人耳识别。实验结果表明,该方法在人耳姿态变化时能够取得非常理想的识别率,提高了人耳识别的鲁棒性,增强了人耳识别技术的实用性。
Based on the simply analysis of the advantages of the early ear recognition methods,an ear recognition method combining locally linear embedding （LLE） and the nearest feature line （NFL） are proposed.The LLE algorithm which based on the manifold learning technique is applied for ear feature extraction,and the NFL-based classifier is used for ear recognition.Experiment results show that this method can obtain the satisfied recognition rate perfectly as for pose variation in ear recognition,improve the robustness of ear recognition,and enhance the practicability of the ear recognition technology.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第25期24-27,31,共5页
Computer Engineering and Applications
基金
国家自然科学基金No.60375002, No.60573058
京市教委重点学科共建项目(No.XK100080537)~~
关键词
人耳识别
流形学习
局部线性嵌入
最近特征线
ear recognition
manifold learning
locally linear embedding
nearest feature line
