Canonical Correlation Analysis on Fusion of Global and Local Features of Face Recognition

Abstract:

Face recognition belongs to the important content of the biometric identification, which is a important method in research of image processing and pattern recognition. It can effectively overcome the traditional authentication defects Through the facial recognition technology. At present, face recognition under ideal state research made some achievements, but the changes in light, shade, expression, posture changes the interference factors such as face recognition is still exist many problems. For this, put forward the integration of global and local features of face recognition research. Practice has proved that through the effective integration of global features and local characteristics, build based on global features and local features fusion face recognition system, can improve the recognition rate of face recognition, face recognition application benefit.

• Periodical: Advanced Materials Research (Volumes 926-930)
• Pages: 3598-3603
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.926-930.3598
• Online since: May 2014
• Authors: Xiao Xiong*, Guo Fa Hao, Peng Zhong
• Keywords: Canonical Correlation, Face Recognition, Fuse, Global Features, Local Feature

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