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文章基本信息

  • 标题:Face Recognition with Partial Face Recognition and Convolutional Neural Network
  • 本地全文:下载
  • 作者:Shraddha Arya ; Arpit Agrawal
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2018
  • 卷号:7
  • 期号:1
  • 页码:91-94
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Biometrics is a system in which we used to recognize human on the basis of its physical or behavioral characteristics. Face recognition has been a dynamic research area in the pattern recognition and computer vision domains. Each face in this world has uniqueness. Therefore it is an identity of human. This identity due to its uniqueness can be used for authentication and access control in different application. In this review paper the face recognition and facial feature is a key area of investigation. Therefore this paper includes the survey of different recently developed face recognition technique and methods which are claimed to provide an effective and accurate method of face recognition. In addition of that a new model for recognizing face is also introduced in this paper. That model is implemented in near future and their performance is compared with similar approach.
  • 关键词:Face Recognition; LDA; CNN; Deep Learning; Feature Extraction; Face Images
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