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  • 标题:Effect of Distance Measures in PCA Based Face Recognition
  • 本地全文:下载
  • 作者:Mini Singh Ahuja ; Sumit Chhabra
  • 期刊名称:International Journal of Enterprise Computing and Business Systems
  • 电子版ISSN:2230-8849
  • 出版年度:2011
  • 卷号:1
  • 期号:2
  • 出版社:International Journal of Enterprise Computing and Business Systems
  • 摘要:With the growth of information technology there is a greater need of high security, so biometric authentication systems are gaining importance. Face recognition is more used because it’s easy and non intrusive method during acquisition procedure. Various methods are used for facial recognition. Principal component analysis (PCA) based systems are used often. In this paper we study 4 distance measures on the FERRET database to see the performance of the principal component analysis (PCA) based face recognition system.
  • 关键词:With the growth of information technology there is a greater need of high security;so biometric authentication systems are gaining importance. Face recognition is more used;because it’s easy and non intrusive method during acquisition procedure. Various methods;are used for facial recognition. Principal component analysis (PCA) based systems are used;often. In this paper we study 4 distance measures on the FERRET database to see the;performance of the principal component analysis (PCA) based face recognition system.
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