Recaptured Image Detection Based on DCT Coefficients ?
نویسندگان
چکیده
This paper presents an approach for identifying recaptured image based on DCT coefficients. The low frequency of an image mainly reflect such information as texture and profile details. The difference between real live face images and recaptured images can be described by the low frequency of DCT coefficients. Characterized by the features of the simple and low complexity, DCT Transformation can be performed on common consumer mobile devices quickly. A large number of experiments show that using DCT coefficient as the feature vectors, the SVM classifier for training and test, the proposed method can efficiently classify the real live faces and recaptured photos.
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