A face feature extraction method using a local contour pattern and a face recognition method using the same are disclosed. Extracting an edge component similar to human vision by applying a mask to the adjusted face image, extracting a face feature using a local contour pattern for the extracted edge component, And a step of classifying faces using the extracted facial features. Therefore, it is possible to recognize faces by extracting features having characteristics similar to human vision.
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