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[Special EffectsDCT2DPCA

Description: 基于对角DCT和2Dpca的matlab人脸识别源码。-right angle based on DCT and the Matlab 2Dpca Face Recognition source.
Platform: | Size: 2471 | Author: 文滔 | Hits:

[Special EffectsDCT2DPCA

Description: 基于对角DCT和2Dpca的matlab人脸识别源码。-right angle based on DCT and the Matlab 2Dpca Face Recognition source.
Platform: | Size: 2048 | Author: 文滔 | Hits:

[Mathimatics-Numerical algorithmsDCT

Description: 用DCT进行人脸识别,用MATLAB实现-Using DCT for Face Recognition using MATLAB realize
Platform: | Size: 76800 | Author: 李晋博 | Hits:

[AI-NN-PRface_recognition

Description: 基于2D-DCT和模块2DPCA的人脸识别系统的实现(matlab)
Platform: | Size: 2057216 | Author: da | Hits:

[Graph programFaceRecognition

Description: 这是一个用matlab做的人脸识别系统,里面包含了几十张人脸数据图像,值得一荐-This is a matlab to do with Face Recognition System, which contains dozens of Zhang Face image data, it is worth sacral
Platform: | Size: 305152 | Author: 鄙人不善奔跑 | Hits:

[Graph RecognizefaceRecognition

Description: 基于2D-DCT和模块2DPCA的人脸识别系统的实现(matlab)-Based on the 2D-DCT and modules 2DPCA Face Recognition System (matlab)
Platform: | Size: 4164608 | Author: 黄文 | Hits:

[Special EffectsA_Study_og_Face_Recognition_Methods_Baced_on_Wavel

Description: 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 wavelet decomposition of the LDA-based face recognition methods. A wavelet and DCT-based face recognition methods. A CEDT opportunities and support vector machine classification and face recognition.
Platform: | Size: 7113728 | Author: yanyan | Hits:

[AI-NN-PRDCT

Description: 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BP神经网络分类器,同时采用BP神经网络分类器作为本次基于DCT的人脸识别系统设计的分类器,并对BP神经网络进行分类的算法进行设计,BP神经网络具有学习功能,只要采用本系统对训练图片进行训练,就可以记下图像的相关信息,对于测试图片,就可以很准确的识别出该图片是属于哪个的。最后,本文对整个人脸识别系统设计实验进行了实验分析,实验结果表明本文采用的方法切实有效。- This is the design of the DCT-based face recognition systems. First of all, the background light of the current face recognition and face recognition to discuss the development of research in all aspects of content and applications And then studied the pretreatment of face recognition to discuss the pre-treatment of other face recognition methods,and analysis of the pros and cons of various methods, finally, the use of DCT (discrete cosine transform) image pre-processing to achieve in the face of the reduced-order processing Next on the face image feature extraction have been studied, A brief description of the feature extraction and algebraic geometry feature extraction, while in-depth study based on the DCT and the PCA Transform face image feature extraction in order to achieve face recognition system to identify whether the rate of increase in the research For the choice of classifier, this paper carried out on two of classifier, that is, nearest neighbor classifier and BP neura
Platform: | Size: 422912 | Author: 刘文珍 | Hits:

[OtherIFI_DB

Description: face recognition using dct and neural networks
Platform: | Size: 2386944 | Author: salma | Hits:

[Graph Recognizedctannprotected

Description: High information redundancy and correlation in face images result in efficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches.-High information redundancy and correlation in face images result in inefficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches.
Platform: | Size: 25600 | Author: mhm | Hits:

[Graph RecognizeFACE-RECGNITION

Description: 基于MATLAB的人脸识别算法,使用2D-DCT,自组织算法以及离散余弦变换-A MATLAB based Face Recognition System using Image Processing and Neural Networks
Platform: | Size: 558080 | Author: LIXUE | Hits:

[OS program113223421412

Description: 基于DCT人脸识别算法代码,运行环境是在MATLAB中-A MATLAB based Face Recognition System using Image Processing and Neural Networks
Platform: | Size: 37888 | Author: 藏锋 | Hits:

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