A new face database and evaluation of face recognition techniques

Authors:
D. Alexiadis;V. Syrris;A. Papastergiou;A. Hatzigaidas;L. Mariuta
Affiliations:
Technological Educational Institute of Thessaloniki, Department of Electronics, Thessaloniki, Greece;Technological Educational Institute of Thessaloniki, Department of Electronics, Thessaloniki, Greece;Technological Educational Institute of Thessaloniki, Department of Electronics, Thessaloniki, Greece;Technological Educational Institute of Thessaloniki, Department of Electronics, Thessaloniki, Greece;Technological Educational Institute of Thessaloniki, Department of Electronics, Thessaloniki, Greece
Venue:
ICS'10 Proceedings of the 14th WSEAS international conference on Systems: part of the 14th WSEAS CSCC multiconference - Volume II
Year:
2010

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Abstract

This paper introduces ELA5, a new image database that is suitable for experimentation within the face recognition domain. Its design attempts to cover a variety of scenarios encompassing pose and illumination variations, different facial expressions and occlusion. In addition, established computational techniques such as Principal Component Analysis (PCA) and Multilinear PCA, combined with Fisher/Linear Discriminant Analysis (LDA) are evaluated and comparative results display their strengths and weaknesses in settings that simulate real-world conditions.