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人耳识别技术研究综述
引用本文:田莹,苑玮琦. 人耳识别技术研究综述[J]. 计算机应用研究, 2007, 24(4): 21-25
作者姓名:田莹  苑玮琦
作者单位:沈阳工业大学,视觉检测技术研究所,辽宁,沈阳,110023;鞍山科技大学,计算机科学与工程学院,辽宁,鞍山,114044;沈阳工业大学,视觉检测技术研究所,辽宁,沈阳,110023
摘    要:介绍了一种新的生物识别技术--人耳识别.首先对人耳生物识别系统进行介绍,并与其他生物识别技术进行比较;重点按照识别特征的不同提取方法分别综述了各种人耳识别技术的关键技术,如PCA方法、基于神经网络方法、力场转换理论、遗传局部搜索法以及基于几何学方法和基于长轴的结构特征提取方法等分析方法.通过对各种识别方法的分析和比较,总结了影响人耳识别技术的几个因素和研究开发成功的人耳识别技术需要考虑的几个重要方面,最后提出了展望.

关 键 词:人耳识别  生物特征  模式识别
文章编号:1001-3695(2007)04-0021-05
修稿时间:2005-11-08

Survey of Human Ear Recognition
TIAN Ying,YUAN Wei qi. Survey of Human Ear Recognition[J]. Application Research of Computers, 2007, 24(4): 21-25
Authors:TIAN Ying  YUAN Wei qi
Affiliation:(1.Institute of Vision Detection Technology, Shenyang University of Technology, Shenyang Liaoning 110023, China; 2.School of Computer Science & Engineering, Anshan University of Science & Technology, Anshan Liaoning 114044, China)
Abstract:A relatively new form of biometrics automatic ear biometrics was introduced and compared with popular forms of biometrics. Then key technologies of ear recognition were roughly introduced according to different features extraction. The leading works including those which appeared in the research world very lately were given, such as PCA, based on neural networks using various combination techniques, force field transformation, genetic local search, based on geometrical method, long axis based shape and structure feature extraction method and so on. Key factors in ear recognition technologies were coneluded and an overview of prospective development of this area was given.
Keywords:ear recognition  biometrics  pattern recognition
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