搜索资源列表
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ECG feature extraction and clasiffication for biometric
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Feature extraction for clasification
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AR人脸库进行DCT变换,然后使用Fisher discriminant analysis 进行特征提取,使用cos分类器进行人脸分类。-AR Face Database for DCT transform, and then use the Fisher discriminant analysis feature extraction, using cos classifier for human face classification.
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RELLAX算法,特征提取,目标识别,很好的资料!-RELLAX algorithm, feature extraction, object recognition, very good information!
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feature extraction and matching algorithm
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用matlab编写的用于医学图像。很实用。大家可以参考参考。-Using matlab to prepare for the license plates feature extraction. Very practical. Members can refer to reference
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本文设计基于DCT的人脸识别系统,首先结合当今人脸识别的背景和发展状况讨论了人脸识别的研究内容及在各方面的应用;然后研究了人脸识别进行预处理,讨论了人脸识别预处理的其他方法,分析各种方法的利弊,最后采用DCT(离散余弦变换)实现人脸图像预处理中的降维处理;接下来对人脸图像的特征提取进行了研究,简单叙述了几何特征提取和代数特征提取,同时深入研究了基于DCT和PCA变换的人脸图像特征提取,从而实现是否对人脸识别系统识别率有所提高的研究;对于分类器的选择,本文对两种分类器进行了探讨,即最近邻分类器和B
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编程是由pca和lda结合的脸部特征提取,用于三维图像。-multilinear principal component analysis combined with Linear discriminant analysis 3D face feature extraction.
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lda线性特征提取,用于人脸识别,首先进行小波特征提取后用lda提取特征。-lda linear feature extraction for face recognition, first of all, after feature extraction using wavelet feature extraction using lda.
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This toolBox used in the image processing(feature extraction and classification)
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汉语语音特征参数提取程序提取特征擦数 汉语语音特征参数提取程序提取特征擦数-Chinese Speech feature extraction procedure
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程序代码说明
P0801:索书号文字图像分割
P0802:粘连字符切分
P0803:文字识别
P0804:彩色车牌分割
P0805:商标文字分割
Recognition:文字识别的识别子函数
StrDetect01:文字识别的结构特征提取子函数-The structural character recognition feature extraction subroutine
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人脸识别IEEE 2010论文,feature extraction use constraint approximation and supression-Face Recognition IEEE 2010 paper, feature extraction use constraint approximation and supression
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特征提取,人的手的动作等,对这些数据进行捕捉,提取-Feature extraction, human hand movements, etc., these data capture, extraction
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基于特征提取技术的源程序,用于水下视频监控-Feature extraction technique based on source code, for underwater video surveillance
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VC++图像处理典型算法,包括图像灰度化,边缘检测,图像识别,提取特征值等-Typical VC++ image processing algorithms, including gray, edge detection, image recognition, feature extraction and other value
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此资料实现了ADABOOST和HAAR的特征提取和从弱分类到强分类的具体步骤-The data achieved ADABOOST and HAAR of feature extraction and classification from weak to strong category specific steps
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利用matlab实现语音的lpc特征提取,可以加入语音后直接使用,仿真图中对特征系数、误差等分析清晰有效-Using the lpc matlab voice feature extraction, can be added directly after the speech, the simulation graph of the characteristic coefficient of error so clear and effective
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contourlet纹理特征变化提取,有contourlet的详细分析过程-changes in texture feature extraction contourlet
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用于浏览和检索的图像纹理特征提取,使用gabar滤波器提取纹理特征。-For browsing and retrieval of image texture feature extraction, texture features extracted using gabar filter.
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