Data Reductionality Technique for Face Recognition

The techniques of data reduction to display graphics play a vital role in saving cost and computational complexities. principal components analysis (pca) is such a well known technique for data compression. in this paper,a comparison of pca-based face recognition technique and the proposed hybrid technique has been given. in the proposed technique,data compression is achieved through the combination of both discrete cosine transform (dct) and pca. it is,in fact,an effort to get the reduced dimensions of image without losing imperative information. the idea of proposed work is based on getting pure co-efficients from the features of a face image. the performance of proposed algorithm is tested and the results obtained show significant improvement over the traditional pca technique. © pakistan academy of sciences.