A Novel Nearest Feature Space Classifier for Face Recognition

نویسندگان

  • YAN CHEN
  • QIONG LI
  • XIAMU NIU
  • HONGZHI ZHANG
  • WANGMENG ZUO
  • SIMING LIU
چکیده

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. Key-Words: classifier design, nearest feature line (NFL), nearest feature space (NFS), face recognition

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تاریخ انتشار 2006