Face Recognition Algorithm Based on Two-dimensional Gabor Wavelet Feature Matrices
Hongzhou Zhang · Jisuanji gongcheng · 2008
This paper introduces a novel face representation method based on two-dimensional Gabor wavelet feature (Gaborface) matrices instead of the conventional transformed one dimensional feature vectors. Both the ensemble Gaborface representation and the multi-channel Gaborface representation are studied and experimented on the ORL face database using two-dimensional principal component analysis face recognition approach (2DPCA). Experimental results show the efficiency and feasibility of the method,particularly,the 100% recognition rate is achieved by the MGFR-based 2DPCA.