Face Recognition Using Eigen Face Based Technique Utilizing the Concept of Principal Component Analysis

Authors

  • Prof. Samir K Bandyopadhyay University of Calcutta, Kolkata
  • Mrs. Sunita Roy University of Calcutta, Kolkata

DOI:

https://doi.org/10.24297/ijct.v10i8.1470

Keywords:

Face recognition, Eigen face, principal component analysis (PCA), face space, appearance-based

Abstract

Face recognition has been an active research area since late 1980s [1]. Eigenface approach is one of the earliest appearance-based face recognition methods, which was developed by M. Turk and A. Pentland [1] in 1991. In this approach we have to perform a lots of computations, which are not feasible with respect to time in many real time system. The concept of principal component analysis (PCA) is used in this approach to reduce the dimension and hence reducing the computation time. Principal component analysis [4] decomposes face images into a small set of characteristic feature images called eigen faces.

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Author Biographies

Prof. Samir K Bandyopadhyay, University of Calcutta, Kolkata

Professor of the Dept. of Computer Science Engineering

Mrs. Sunita Roy, University of Calcutta, Kolkata

Ph.D. scholar in the Dept. of Computer Science & Engineering

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Published

2013-08-30

How to Cite

Bandyopadhyay, P. S. K., & Roy, M. S. (2013). Face Recognition Using Eigen Face Based Technique Utilizing the Concept of Principal Component Analysis. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 10(8), 1943–1953. https://doi.org/10.24297/ijct.v10i8.1470

Issue

Vol. 10 No. 8 (2013)

Section

Research Articles
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