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[face recognization] How to exclude the input image that isn't in the training set

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hi everyone
I use PCA for recognizing face . here is my code shortly:
[evectors, score, evalues] = princomp(images_train_eig');
num_eigenfaces = 10;
n_evectors = evectors(:, 1:num_eigenfaces);
% project the images into the subspace to generate the feature vectors
features = n_evectors' * shifted_images;
% calculate the similarity of the input to each training image
feature_vec = n_evectors' * (input_image(:) - mean_face);
similarity_score = arrayfun(@(n) 1 / (1 + norm(features(:,n) - feature_vec)), 1:num_images);
% find the image with the highest similarity
[match_score, match_ix] = max(similarity_score);
how can i recognize people that doesn't in my training set ,
Please answer me with keywords or any clues. Thank you

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