Special Issue Article Open Access

Discriminative DCT Based Face Recognition: An Efficient and Accurate Approach

Abstract

In this paper, we study an efficient face recognition technique using combined approaches of discrete cosine transform (DCT) and principal component analysis (PCA). In DCT-PCA, PCA is applied onto the extracted DCT coefficients of the face images. This technique is based on the Fourier spectra of the facial images. The experiments are conducted on the standard face datasets such as ORL, UMIST and real dataset and the performance of the DCT-PCA technique is compared with the existing DCT and PCA. From the experimental results, it is proved that the DCT-PCA based technique for face recognition has improved recognition rate than the conventional PCA and DCT approaches.

M Sharmila Kumari, Swathi Salian

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