Face Recognition Using Sign Only Correlation
نویسندگان
چکیده
In this work we examine a face recognition system based on advanced correlation filters. A thorough theoretical design analysis of, Minimum Average Correlation Energy (MACE) filters and Optimum Trade-off Synthetic Discriminant Function (OTSDF) also commonly known as Optimal Trade-off Filter (OTF) is provided. In practice one of the major computational aspects in the correlation filter design is representation of complex floating point Discrete Fourier Transform (DFT) coefficients using limited precision memory. In order to over come the floating point memory requirement of the correlation based filters for systems with limited computational resources use of Discrete Cosine Transform Sign-Only Correlation (DCTSOC) which deals with only the sign information of the Discrete Cosine Transform (DCT) has been proposed. The proposed method is tested for synthesis of OTF and a comparison of recognition rate for frontal face identification is made between OTF using DSOC (OTDS) and standard OTF
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