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International Journal of Electrical and Computer Engineering Systems, Vol. 7. No. 1., 2016.

Preliminary communication

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

Krešimir Romić ; Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Department of Software Engineering
Časlav Livada ; Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Department of Software Engineering
Andrija Glavaš ; Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Department of Software Engineering

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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.

Keywords

Eigenfaces; face detection; face recognition; Viola-Jones

Hrčak ID:

158529

URI

https://hrcak.srce.hr/158529

Publication date:

20.5.2016.

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