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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please, can i have matlab source code for the topic : arabic off line handwritten word recognition and the different methods of pre-processing methods in this field? ....etc

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I am in need of source code for implementation of offline handwriting recognition in matlab. Can you please help?? ....etc

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

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Optical character recognition (OCR) is the translation of optically scanned bitmaps of printed or written text characters into character codes, such as ASCII. This is an efficient way to turn hard-copy materials into data files that can be edited and otherwise manipulated on a computer. This is the technology long used by libraries and government agencies to make lengthy documents quickly available electronically. Advances in OCR technology have spurred its increasing use by enterprises. For many document-input tasks, OCR is the most cost-effec ....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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Abstract

Face recognition is taken into account to be some of the dependable biometric, when safety points are taken into concern. For this, function extraction turns into a crucial drawback. Different strategies are used for extraction of facial function that are broadly categorized into linear and nonlinear subspaces. Among the linear strategies are Linear Discriminant Analysis (LDA), Bayesian Methods (MAP and ML), Discriminative Common Vectors (DCV), Independent Component Analysis (ICA), Tensor faces Multi-Linear Singular Value Decompositio ....etc

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Principle Component Analysis PCA is a classical feature extraction and data representation technique
widely used in pattern recognition. It is one of the most successful techniques in face recognition. But it has
drawback of high computational especially for big size database. This paper conducts a study to optimize
the time complexity of PCA (eigenfaces) that does not affects the recognition performance. The authors
minimize the participated eigenvectors which consequently decreases the computational time. A
comparison is done to compare ....etc

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To get full information or details of offline handwriting recognition code matlab please have a look on the pages

http://seminarsprojects.net/Thread-handwriting-recognition

http://seminarsprojects.net/Thread-handwriting-recognition-project-report

http://seminarsprojects.net/Thread-an-off-line-unconstrained-handwriting-recognition-system

http://seminarsprojects.net/Thread-offline-handwriting-recognition-using-genetic-algorithm

if you again feel trouble on offline handwriting recognition code matlab please reply in that page and ask specif ....etc

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