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文章基本信息

  • 标题:Deep Perusal of Human Face Recognition Algorithms from Facial Snapshots
  • 本地全文:下载
  • 作者:Deepika Dubey ; Dr. G.S.Tomar
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2016
  • 卷号:9
  • 期号:9
  • 页码:103-112
  • 出版社:SERSC
  • 摘要:Face recognition having so many application in security, access control, gaming, aging effect, health issues, and internet communication and so on. It has been perform by using different face recognition algorithms on different field of application. When we use face recognition inreal-world scenarios with unfavorable conditions such as occlusion and pose variations, illuminationand expressions. Here also study the challenges during face recognition under immoralconditions such as facial expression recognition withposesvariations, occlusion and lightning condition. Basically it proposes several possible future direction which is excluded from the challenges used in it. Thus, it is a beneficial developing ping pointfor research project on face recognitions able to be used for a practical purpose or in several ways.
  • 关键词:Face Detection; Face Recognition; Digital Image Processing; ;PCA; ;KPCA;Neural Network; Pose Invarian
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