Improvement of Feature-based Face Recognition Algorithm by Elastic Graph Matching
Zhengming Li · Jisuanji gongcheng · 2011
This paper presents a new method for optimization of Elastic Graph Matching(EGM) algorithm in face recognition.After face image graph is composed of feature vector extracted from 2D Gabor wavelet,labeled graph vector is obtained.The proposed algorithm adopts the Principal Component Analysis(PCA) and FLD algorithm reduces dimensionality of labeled graph vector.In comparison with the conventional methods,the proposed approach can obtain satisfactory results in the perspectives of recognition rates and speeds.