Gaborface-based 2DPCA and (2D) 2 PCA classification with ensemble and multichannel model for face recognition
Lin Wang, Yongping Li, Chengbo Wang, Hongzhou Zhang · International Conference on Signal Processing · 2007
This paper introduces Gaborface-based 2DPCA and (2D)2PCA classification method based on 2D Gaborface matrices rather than transformed 1D feature vectors. Two kinds of strategies to use the bank of Gaborfaces are proposed: ensemble Gaborface representation (EGFR) and multichannel Gaborface representation (MGFR). The feasibility of our method is proved with the experimental results on the ORL and Yale databases. In particular, the MGFR-based (2D)2PCA method achieves 100% recognition accuracy for ORL database, and 98.89% accuracy for Yale database with five training samples per class.