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EAR
- 人耳识别技术是20世纪90年代末开始兴起的一种生物特征识别技术，与其它生物特征识别技术比较具有以下几个特点：（1）与人脸识别方法比较，耳识别方法不受面部表情、化妆品和胡须变化的影响，同时保留了面部识别图象采集方便的优点，与人脸相比，整个人耳的颜色更加一致、图像尺寸更小，数据处理量也更小。（2）与指纹识别方法比较，耳图象的获取是一种被动方式，即通过非接触方式获取耳图像，不存在通过接触传染疾病的机会，因此，其信息获取方式具有容易被人接受的优点。（3）与虹膜识别方法比较，首先，由于人脸和头发的存在，需
Ear-temperature-gun
- 耳温枪程序设计源码,他是基于C环境下的汇编程序-The source code of the ear temperature gun
ear-profile-extraction
- 针对人耳朵轮廓提取而设计的程序，使用OSTU方法可以很好的实现目标同北京的分离-Contour extraction and for the human ear design process, using OSTU methods achieve a good separation of the target with Beijing
ear-recognition
- 基于主成分分析的人耳识别方法研究，使用方法为PCA，算法较为简单，易于编程-PCA-based ear recognition method, using the method for the PCA, algorithm is simple, easy to program
EAR
- 轮廓识别的程序非常管用，可用于人体轮廓和人的耳朵识别-Contour identification procedure is very effective, and can be used to contour the body and ear recognition
mfccc
- MFCC参数很好的反映了人耳的听觉特性,所以在语音识别中我们也用到他,本代码是用matlab仿真了MFCC 参数的提取过程.-MFCC parameters well reflected the auditory characteristics of the human ear, so in speech recognition, we also used him, and this code is used matlab simulation parameters of the MFCC ex
ear
- 基于pic的臭氧清洗耳道的程序，其中涉及到数码管及继电器控制，很有借鉴作用-Pic of the ozone-based cleaning of the ear canal procedure, which involves the digital control and relay control, useful reference
EarRecog
- 人耳边缘检测的源程序，通过建立高斯金字塔确定人耳外轮廓，希望能对大家有帮助-Ear edge detection source, through the establishment of Gaussian pyramid outside the outline of the human ear to identify the hope that it can help you
Monotone_polygon_partition
- 给定一个单调多边形，基于割耳朵算法，我们可以将这个多边形三角剖分-given a monotone polygon,based on the ear-cutting method, we can get a triangle partition.
v2
- biometric ear recognition system
EarClipTriangulate
- An implementation of an Ear Clipping algorithm, used for triangulating geometry (i.e. making an arbitrary polygon in to triangles).
ICA
- 用ICA进行人耳特征的提取，没有自带人耳库，请加上人耳库以后再进行调试-To the human ear with ICA feature extraction, there is no native human ear library, coupled with the human ear library later debugging
lda
- 一个基于人耳模式识别的lda算法，可实现对高维矩阵的降维。-A pattern recognition based on human ear lda algorithm can realize high-dimensional matrix of dimension reduction.
fusion-of-face-a-ear-using-wavelet-at-sensor-leve
- program on image processing based on MATLAB for biometric recognition
xdx
- 本文介绍的是基于类内最小距离的人耳识别，利用图像处理上的一些基本的预处理和特征提取与类内最小距离比较来达到识别的目的，通过在VC环境下运用C++和OPENCV进行编程，观察实现的效果。-ear recognition Based on the minimum distance
cut-ear-1
- 计算几何中介绍多边形的割耳朵算法的源码，在opengl的环境中开发完成-Computational geometry algorithms described ear cut polygon source, opengl environment in the developed
Triangulation(EAR-REMOVAL)
- 基于Ear Removal的算法的多边形三角划分算法。-Ear Removal algorithm based on triangulation of polygons algorithm.
Wcognition
- 小波分解和鉴别共同矢量的人耳识别Wavelet decomposition and identification of a common vector Ear Recognition-Wavelet decomposition and identification of a common vector Ear Recognition
ear-recognition
- 基于小波变换和正交质心算法的人耳识别研究，其中算法较为复杂-Based on Wavelet Transform and Orthogonal Centroid algorithm recognition of the human ear, which is more complicated algorithm
Ear Recognition
- Ear Recognition using Matlab