%0 Journal Article
%T Survey of Human Ear Recognition<br>人耳识别技术研究综述
%A TIAN Ying
%A YUAN Wei-qi
%A <br>田莹
%A 苑玮琦
%J 计算机应用研究
%D 2007
%I 
%X 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.
%K ear recognition
%K biometrics
%K pattern recognition<br>人耳识别
%K 生物特征
%K 模式识别
%K 人耳识别技术
%K 技术研究
%K Recognition
%K Human
%K 技术需要
%K 开发
%K 因素
%K 影响
%K 识别方法
%K 分析
%K 特征提取
%K 结构
%K 几何学
%K 搜索法
%K 局部
%K 遗传
%K 转换理论
%K 力场
%K 网络方法
%K 神经
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=EF4AD2E7BFCF0B30629A8838EA546121&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=E158A972A605785F&sid=659D3B06EBF534A7&eid=C5154311167311FE&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=23