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文章基本信息

  • 标题:Kernel Fisher Analysis Based Feature Extraction for Face Recognition Using Euclidean Classifier
  • 本地全文:下载
  • 作者:M.Manimozhi ; S.Sangeetha ; M.Malarvizhi
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2014
  • 卷号:2
  • 期号:11
  • 出版社:S&S Publications
  • 摘要:Face recognition is one of the important factors in this real situation.The kernel approach has beenproposed to solve face recognition problem (by mapping input space to high dimensional feature space).Algorithm suchas KFA (Kernel Fisher Analysis), preprocessing and training the images and classify using classifier for the imagestaken from ORL dataset. Euclidean Classifier is used for recognition. The advantage of MATLAB software is chosen toimplement the analysis
  • 关键词:Euclidean classifier; ORL database; Kernel Fisher Analysis
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