Year: 2012
Type: article
Abstract: In this article, a face recognition system using the Principal Component Analysis (PCA) algorithm was implemented. The algorithm is based on an eigenfaces approach which represents a PCA method in which a small set of significant features are used to describe the variation between face images. Experimental results for different numbers of eigenfaces are shown to verify the viability of the proposed method.
DOI: 10.2298/sjee1201121s
Authors: Marijeta Slavkovic, Dubravka Jevtic
Institution: University of Belgrade
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W1997320534