First we use the whole image as the feature, but the running time is too long, so we begin to think about the preprocessing and the feature extraction. We use two methods to extract the feature, first we extract 13 features but the efficient is not very good, so we try to another method to extract 49 features, this time the correct rate is higher than the method above

shouxietishibie
...............\extract13feature.cpp
...............\extractData.cpp
...............\nearest recognition.cpp
...............\nearest13feature.cpp

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