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1)  outer ear recognition
外耳识别
1.
On the basis of the application background,the paper compares some edgedetection algorithms such as Canny operator,Sobel operator and so on,and by distinguishing edge type vision and algorithm,puts forward a practical method of edge detection based on outer ear recognition technique,which is useful in actual applications.
外耳识别技术是一种新的生物个体识别技术 ,有它自身的应用范围和特点 ,以其为应用背景 ,比较了Canny算子、Sobel算子等边缘处理技术之后 ,从区分图像边缘类型视觉与算法角度出发 ,提出了一种基于外耳识别技术的边缘检测的实用方法 ,具有一定实际应用价值。
2)  ear recognition
人耳识别
1.
Automatic ear recognition based on contour curve and local feature;
基于轮廓曲线和局部特征点的自动人耳识别
2.
Research of the Ear Recognition Based on Principal Component Analysis;
基于主成分分析的人耳识别系统研究
3.
Selection of the anchor points and design of the detecting algorithm for ear recognition system;
人耳识别系统中的定位点选择及检测算法的设计
3)  ear identification
耳廓识别
4)  external identification
外部识别
1.
The author discusses the concept of core competence,analyzes the characteristic of it and the reason why it is hard to identify and pus forward the internal and external identification methods of core competence.
从分析核心竞争力的内涵入手,分析核心竞争力的特征、核心竞争力难以识别的原因,并提出关于核心竞争力的内部、外部识别方法。
5)  multi-pose ear recognition
多姿态人耳识别
1.
Locally Linear Embedding and Its Improved Algorithm for Multi-Pose Ear Recognition
用于多姿态人耳识别的局部线性嵌入及其改进算法
2.
In this paper,on the basis of the manifold learning algorithm,we propose a multi-pose ear recognition method based on LLE(locally linear embedding)that overcomes the disadvantages of 2-D ear recognition methods in dealing with pose variations.
多姿态人耳识别是人耳识别技术面临的一个难题,目前这方面的研究并不多见。
6)  ear recognition methods
人耳识别方法
补充资料:外耳


外耳


  耳穴。在屏上切迹前方近耳轮部。
  
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