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人工智能人脸识别的基于gabor小波的matlab参考算法-Face Recognition Artificial Intelligence gabor wavelet-based reference algorithm matlab
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针对灰度图像，提出一种基于知识的人脸检测方法。
提出了一种给予支持向量机的人脸检测方法。
提出了一种基于小波分解的LDA人脸识别方法。
提出了一种基于小波和DCT的人脸识别方法。
提出了一种机遇CEDT和支持向量机的人脸分类和识别方法。
-For gray-scale images, a knowledge-based face detection methods. A support vector machine method of face detection. A wa
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实现2DLDA和LDA对人脸识别的比较，有论文和相应的程序，matlab编写-A matlab code of 2DLDA and LDA for face recognition
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基于小波变换的人脸识别代码本代码对图像进行小波分解，然后又用最近邻方法实现了图像的识别。-Face Recognition Based on Wavelet Transform code-wavelet based face recognition, the code of the image wavelet decomposition, and then with the nearest neighbor method to achieve the image recognition!
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matlab实现的小波分解和pca结合的人脸识别算法，识别率较好-matlab implementation of wavelet decomposition and pca combination of face recognition algorithms, a better recognition rate
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首先进行小波变换，在此基础上进行pca特征提取，在进行lda特征提取，用于人脸识别-First, wavelet transform, in this based on pca feature extraction, feature extraction during lda for face recognition
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利用小波进行一级特征提取，在此基础上采用2dpca进行二级特征提取，用于人脸识别。-Carried out a wavelet feature extraction, in this based on the use of 2dpca for two feature extraction for face recognition.
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利用神经网络和高波小波特征进行人脸检测的Matlab源码-Using neural networks and high-wave wavelet feature face detection Matlab source
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pca特征降维，gabor小波变换，人脸识别的matlab程序-pca feature dimension reduction, gabor wavelet transform, face recognition matlab program
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gabor变化关于人脸边缘检测程序（matlab）-gabor Change About Face edge detection program
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小波变换，分析，去噪的matlab代码，可以应用到人脸图像，掌纹图像上-Wavelet transform analysis, denoising matlab code, and can be applied to the face image, the palmprint image
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Matching Pursuit and orthogonal matching pursuit, Calculation of the Euclidean distance between the two matrices, Gabor wavelet transform and PCA face recognition code.
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Gabor wavelet transform and PCA face recognition code, It uses a pulse of consumer law, Is a good learning materials to learn PCA feature extraction.
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基于Gbor小波的人脸识别程序 识别率高 毕业设计使用 人脸识别系统(Face recognition program based on Gbor wavelet Face recognition system with high recognition rate and high graduation design)
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