How to train neural network with extracted features?
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I use following code for feature detection aand storing:
srcFiles = dir('E:\Database\Preprocessed\Genuine\Resize\20\*.png'); % the folder in which ur images exists
Features = cell(length(srcFiles),1) ;
Valid_points =cell(length(srcFiles),1) ;
for i = 1 : length(srcFiles)
filename = strcat('E:\Database\Preprocessed\Genuine\Resize\20\',srcFiles(i).name);
points1 = detectSURFFeatures(imread(filename)); hold on;
strongest = points1.selectStrongest(5);
imshow(filename); hold on;
plot(strongest);
strongest.Location
[features1, interest_points] = extractFeatures(imread(filename), points1);
Features{i} = features1 ;
Valid_points{i} = interest_points ;
figure; imshow(filename);
end
%Features;
%Valid_points;
plz tell me how to give the input of extracted features in the training of neural network.
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