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PCA Based face recognition System using ORL Database

This package implements a well-known PCA-based face recognition method, which is called 'Eigenface'. The program is easy to use. Furthermore, a sample Project file 'ProjectPCA.m' is added that demonstrate how to use, ORL training and test database is also included to show Performance comparison for...
  Matlab        Matlab     

PCA+svm face recognition systems using matlab

matlab PCA+svm face recognition systems, dimensionality reduction using PCA, classification using svm, recognition rate is good. Codes were debugged and passed....
  Matlab        Matlab     

face recognition using matlab

face recognition is one of the key areas under research. It has numerous of applications and uses.  Many methods and algorithms are put forward like, 3D facial recognition etc. face recognition comes  under Biometric identification like iris, retina, finger prints etc. The feat...
  Image Processing        Matlab     

face recognition + PCA + svm

A novel approach for solving face recognition problem. Our method combines 2D Principal Component Analysis  (2DPCA), one of the prominent methods for extracting feature vectors, and Support Vector Machine (svm), the  most powerful discriminative method for classi...
  Matlab        Matlab     

A new Support Vector Machine(svm) machine based face recognition system

This method presents a face recognition algorithm by using Gabor wavelet transform for facial features extraction and Support Vector Machines (svm) for face recognition, Gabor wavelets coefficients are used to represent local facial features. The implementations of  algorithm are...
  Matlab        Matlab     

face recognition using PARTICLE SWARM OPTIMIZATION AND DCT

face recognition using PARTICLE SWARM OPTIMIZATION AND DCT Feature selection (FS) is a global optimization problem in machine learning, which reduces the number of features, removes irrelevant, noisy and redundant data, and results in acceptable recognition accuracy. It is the most imp...
  Matlab        Matlab     

face recognition using PCA

In matlab, face recognition using PCA algorithm, divided into training and recognition phases. First train and dimension reduction operations, can then be used to identify test set...
  Matlab        Matlab     

matlab simulation for face recognition

face recognition is one of biometric methods, to identify given face image using  main features of face. In this paper, a neural based algorithm is presented, to  detect frontal views of faces. The dimensionality of face image is reduced by the  Principal component analysis (PCA...
  Matlab        Matlab     

"Graduation thesis" design and simulation of matlab-based face recognition system

This paper introduces application in human face recognition matlab Image preprocessing, applies the classical image processing Toolbox image , Applied examples matlab Image processing functions, for a particular face image processing, applied to the face recognition system. This in summary analysis...
  Matlab        Matlab     

svm classification code written using matlab

Based on matlab platform prepared by the svm (support vector machine) source, can be used for feature extraction and classification of the data. svm function that can modify the data type and parameter settings....
  Matlab        Matlab     

matlab face detection: elliptical model and Gauss model

对 YCbCr Elliptical model of the color space experiments and compare Gaussian model, Gaussian color model of skin area more complete and clear ellipse skin model for colour picture interference error in area and has a larger noise. Gaussian model extraction results than elliptical model of an ideal...
  Matlab        Matlab     

Vehicle number plate recognition using svm algorithm

functionvarargout = DA2(varargin) % DA2 M-file for DA2.fig %      DA2, by itself, creates a new DA2 or raises the existing %      singleton*. % %      H = DA2 returns the handle to a new D...
  Matlab        Matlab     

matlab speech recognition with LPC algo

This is from my speech recognition project. I was trying to use LPC algorithm. Note, this is a school project, so it ain't perfect. ...
  Matlab        Matlab     

matlab 2DLDA algorithm for face recognition

Example: demo CreatData: generate data CreatTrainLabelMat: generate data labels LDA: extract fisherface Knnrecognition:knn classifier Knnsearch:knn search...
  Matlab        Matlab     

Two-dimensional principal component analysis written in matlab code for face recognition

Two dimension main ingredients analysis method is General of for down dimension of method, also became K-L transform, can for people face recognition in the features extraction, because with matrix to expressed people face image, numerical compared big, handling enough convenient, so two dimension m...
  Matlab        Matlab     

matlab face detection

matlab face detection Content is too short. Attention please: Codes without good description will be deleted and you won't get any points. Please describe it better to get more points....
  Matlab        Matlab     

extracting the color features for face recognition using local binary pattern

i need the fingerprint feature extraction code to fuse the features into a spatially enhanced features to recogniize the face.. thank u...
  Matlab        Matlab     

face recognition using PCA based method

this is the very good implementation of PCA based face recognition...i just going to do reidentify the person in survillliance area using this methods...
  Matlab        Matlab     

Feature matrix of face recognition matlab source code

using face recognition feature matrix method matlab source code. Contains pictures and a test picture. Picture naming and named in the matlab code corresponds to. To extract the compressed files can be run directly after the source code....
  Image Processing        Matlab     

face recognition using PARTICLE SWARM OPTIMIZATION AND DCT

face recognition using PARTICLE SWARM OPTIMIZATION AND DCT Feature selection (FS) is a global optimization problem in machine learning, which reduces the number of features, removes irrelevant, noisy and redundant data, and results in acceptable recognition accuracy. It is the most imp...
  Image Processing        Matlab     

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