Single and Multi-Person Face Recognition Using the Enhanced Eigenfaces Method

Authors

  • Krešimir Romić Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Department of Software Engineering Cara Hadrijana 10B, Osijek, Croatia
  • Časlav Livada Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Department of Software Engineering Cara Hadrijana 10B, Osijek, Croatia
  • Andrija Glavaš Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Department of Software Engineering Cara Hadrijana 10B, Osijek, Croatia

Keywords:

Eigenfaces, face detection, face recognition, Viola-Jones

Abstract

This research studies and analyzes the possibility of single-person and multi-person face detection and recognition. Face detection is performed by the Viola-Jones face detection method and recognition is performed by the Eigenfaces method. Unchanged face detection and recognition methods are explained and tested to their limits. Improvement in face recognition is achieved by observing the flaws of the Eigenfaces method and their enhancement.

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Published

2016-05-25

How to Cite

[1]
K. Romić, Časlav Livada, and A. Glavaš, “Single and Multi-Person Face Recognition Using the Enhanced Eigenfaces Method”, IJECES, vol. 7, no. 1, pp. 23-28, May 2016.

Issue

Vol. 7 No. 1 (2016)

Section

Preliminary Communications