An efficient frequency domain algorithm for face recognition based on two-dimensional principal component analysis

Authors:
Moataz M. Abdelwahab;Wasfy B. Mikhael
Affiliations:
School of Electrical Engineering and Computer Science, College of Engineering and Computer Science, University of Central Florida, Orlando, FL;School of Electrical Engineering and Computer Science, College of Engineering and Computer Science, University of Central Florida, Orlando, FL
Venue:
ICECS'05 Proceedings of the 4th WSEAS international conference on Electronics, control and signal processing
Year:
2005

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Abstract

In this contribution, a fast Frequency Domain Two-Dimensional Principal Component Analysis (FD2DPCA) algorithm is proposed for facial recognition. The algorithm has attractive properties with respect to computational complexity and storage requirements. The experimental results obtained by applying the new algorithm to the ORL and Yale databases, confirmed the significant reduction in the storage and computational requirements while retaining the excellent recognition accuracy of the spatial domain 2DPCA.