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。
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.
出处
《计算机应用研究》
CSCD
北大核心
2007年第4期21-25,共5页
Application Research of Computers
关键词
人耳识别
生物特征
模式识别
ear recognition
biometrics
pattern recognition
