Real time face recognition using DCT coefficients based face descriptor

This paper presents an alternative real time face recognition using DCT coefficients based face descriptor. The face descriptor consists of dominant frequency content extracted by discrete cosine transforms (DCT), local features extracted by zone DCT, and shape information extracted by hu-moment. The aim of DCT coefficients based face descriptor is to obtain rich information of face descriptor which can provide good performance on real-time face recognition. In this research, dimensional size of face descriptor is decreased by using predictive linear discriminant analysis (PDLDA) and the kNN is implemented for verification. From accuracy, false negative and positive data, the proposed real time face recognition seems to provide good performances. In addition, it also needs short computational time.

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