A novel nearest feature space classifier for face recognition

Authors:
Yan Chen;Qiong Li;Xiamu Niu;Hongzhi Zhang;Wangmeng Zuo;Siming Liu
Affiliations:
Information Countermeasure Technique Institute, Harbin Institute of Technology, Harbin, China;Information Countermeasure Technique Institute, Harbin Institute of Technology, Harbin, China;Information Countermeasure Technique Institute, Harbin Institute of Technology, Harbin, China;School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China;School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China;School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing, China
Venue:
ISPRA'06 Proceedings of the 5th WSEAS International Conference on Signal Processing, Robotics and Automation
Year:
2006

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Abstract

Nearest feature space (NFS) classifier had been proposed to enhance the limited prototypes' representation capacity. In this paper, we provide a formal definition and a theoretical analysis to Feature Space. Furthermore, a novel NFS classifier is proposed for face recognition. Experimental results using the ORL face database indicate that the proposed NFS obtains a better recognition performance than Chien's NFS, which means a larger prototype representation capacity.