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Data Reductionality Technique for Face Recognition

Author(s)
Muhammad Sharif Department of Computer Sciences, COMSATS Institute of Information Technology,Wah Cantt.,Pakistan
Muhammad Kamran Ayub Department of Computer Sciences, COMSATS Institute of Information Technology,Wah Cantt.,Pakistan
Mudassar Raza Department of Computer Sciences, COMSATS Institute of Information Technology,Wah Cantt.,Pakistan
Sajjad Mohsin Department of Computer Sciences, COMSATS Institute of Information Technology,Wah Cantt.,Pakistan
Abstract
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.
Publication Details
Page(s) 233-238
DOI DOI not available
Published Journal: Proceedings of Pakistan Academy of Sciences, Volume: 48, Issue: 4, Year: 2011

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Keywords
face, dimensionality, DCT, Data reduction, recognition
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