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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control)
Md. Rashedul Islam
Hajee Mohammad Danesh Science and Technology University
Computer Science & IT

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PCA-based dimensionality reduction for face recognition Md. Abu Marjan; Md. Rashedul Islam; Md. Palash Uddin; Masud Ibn Afjal; Md. Al Mamun
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 5: October 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v19i5.19566

Abstract

In this paper, we conduct a comprehensive study on dimensionality reduction (DR) techniques and discuss the mostly used statistical DR technique called principal component analysis (PCA) in detail with a view to addressing the classical face recognition problem. Therefore, we, more devotedly, propose a solution to either a typical face or individual face recognition based on the principal components, which are constructed using PCA on the face images. We simulate the proposed solution with several training and test sets of manually captured face images and also with the popular Olivetti Research Laboratory (ORL) and Yale face databases. The performance measure of the proposed face recognizer signifies its superiority.
Co-Authors Masud Ibn Afjal Md. Abu Marjan Md. Al Mamun Md. Palash Uddin