Face Recognition using the Techniques Base on Principal Component Analysis (PCA)

several past few years, Face Recognition has become more significant. Although, other identification methods such as Fingerprints or Iris recognition are currently in use, face recognition has its own application.

Principal Component Analysis (PCA) has been variously used in pattern recognition applications, especially in face recognition field. In this seminars, several techniques based on standard PCA, Fisher Linear ....etc

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IM A FINAL YEAR STUDENT DOING ME - APPLIED ELECTRONICS ,IM DOING PROJECT RELATED TO BREAST CANCER.THUS I WANTED TO KNOW HOW SVM AS A CLASSIFIER AND PCA AS A FEATURE EXTRACTOR WORKS.
....etc

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I want matlab code to apply PCA on KDDCUP 99 for feature reduction ....etc

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Hi am suvarnsing i would like to get details on A multimodal Biometrics System face, ear and signature using rank level fusionfree source code matlab ..My friend Justin said pca face recognition free source code matlab will be available here and now i am living at aurangabad(MH) and i last studied in the college/school Department of Computer Science & Information Technology, Dr Babasaheb Ambedkar Marathwada University Campus, Aurangabad, Maharashtra and now am doing M.Phil i need help on A multimodal Biometrics System face, ear and signature u ....etc

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Plz, help me with the PCA code for doing image fusion. i need the program with an example. i tried for cameraman image but getting the output as complete black. i blurred it at two different places so i hav i1 n i2 which are blurred images which i converted to zero mean images i_1 n i_2.This is my program. what to do next?

clc;
close all;
clear all;
f1=imread('cameraman.tif');
figure(1);
imshow(f1);
=size(f1);
f1=im2double(f1);
level=input('enter the level of blur');
degradation=fspecial('average',);
i1=f1;
....etc

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Principal Component Analysis
• PCA is a powerful tool for analyzing data.
• It is a way of identifying patterns in data, and expressing the data in such a way as to highlight their similarities and differences.
• Principal component analysis (PCA) involves a mathematical procedure that transforms a number of possibly correlated variables into a smaller number of uncorrelated variables called principal components.
• Principal Components Analysis is a method that reduces data dimensionality by performing a c ....etc

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During several past few years, Face Recognition has become more significant. Although, other identification methods such as Fingerprints or Iris recognition are currently in use, face recognition has its own application. Principal Component Analysis (PCA) has been variously used in pattern recognition applications, especially in face recognition field. In this seminars, several techniques based on standard PCA, Fisher Linear Discriminant (FLD), Face Specific Subspace (FSS) will be discussed. We will review the developed idea used in the 2D-PCA ....etc

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How to convert PCA matlab code to 2DPCA code ....etc

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i need matlab code for digital video watermarking using dwt and pca ....etc

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Hi am rohan I would like to get source code for PCA image fusion matlab code.  i saw this site while searching for code. I'm living at kolkata and now I need help on PCA source code please do provide as soon as possible ....etc

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