Robust real-time face recognition

Authors:
B. Lagerwall;S. Viriri
Affiliations:
University of KwaZulu-Natal, Durban, South Africa;University of KwaZulu-Natal, Durban, South Africa
Venue:
Proceedings of the South African Institute for Computer Scientists and Information Technologists Conference
Year:
2013

Citing 4
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Abstract

This paper describes and discusses the algorithms required to perform face detection and face recognition in real-time. Simple features, similar to Haar basis functions, are used for detection and the eigenfaces technique is used for recognition. Further to the above, a novel method of increasing face recognition rates is presented for situations where a database containing multiple images of the same subject is being used. It is shown that these well-known, existing techniques for both detection and recognition can be combined in a manner that runs in real-time, but still preserves the original success rates mentioned in literature.