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ear5.rar
- IEEE上关于人耳图像识别的论文：使用改进的非负矩阵分解的人耳识别,Ear Recognition using Improved Non-Negative Matrix Factorization
Ear
- IEEE上关于人耳识别的论文：基于二维图像的人耳识别-Ear Recognition based on 2D Images
Ear1
- ImagesIEEE上有关图像处理的论文：基于结构分类系统的人耳识别 -Structure Classifier System For Ear Recognition
ear2
- 国际会议上的关于人耳图像识别的论文：Multi-view Ear Recognition Based on B-Spline Pose Manifold Construction -Multi-view Ear Recognition Based on B-Spline Pose Manifold Construction
ear3
- 国际会议上的关于人耳图像识别的论文： 改进的局部线性嵌入多姿态耳识别方法-MULTI-POSE EAR RECOGNITION BASED ON IMPROVED LOCALLY LINEAR EMBEDDING
ear4
- ImagesIEEE上的论文有关图像处理的论文：走向快速3D耳识别现实生活中的应用生物识别技术 -TOWARDS FAST 3D EAR RECOGNITION FOR REAL-LIFE BIOMETRIC APPLICATIONS
ear6
- IEEE上关于人耳图像识别的论文：基于多Agent的脸和耳朵融合识别-FACE AND EAR FUSION RECOGNITION BASED ON MULTI-AGENT
bala
- Previous works have shown that the ear is a promising candidate for biometric identification. However, in prior work, the preprocessing of ear images has had manual steps and algorithms have not necessarily handled problems caused by hair and ear
Using-SIFT-Algorithm-for-Verification-of-Ear-Biom
- Using SIFT Algorithm for Verification of Ear Biometric
tain
- 耳蜗实质上相当于一个滤波器组，耳蜗的滤波作用是在对数频率尺度上进行的，在1000HZ下，人耳的感知能力与频率成线性关系；而在1000HZ以上，人耳的感知能力与频率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为-Cochlear substantially equivalent to a filter set, cochlear filter is used on logarit