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文章基本信息

  • 标题:Classification of Components of Face Using TextureFeature
  • 本地全文:下载
  • 作者:Naveena M ; G Hemantha Kumar
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2019
  • 卷号:16
  • 期号:6
  • 页码:27-32
  • DOI:10.5281/zenodo.3987086
  • 出版社:IJCSI Press
  • 摘要:The goal of this paper is to classify the component of texture feature of the face. The face image is a type of texture that can be represented using texture descriptors. This concept is used in changes of pose and different illuminations are used to detect components of face using Viola-Jones algorithm. A local region is represented by its center pixel, and center pixels represent the image in gray level then the gray level image is converted into binary code. In K- nearest neighbor classification the output belongs to the class. An object is classified by a majority vote of its neighbors, and the object is assigned to the most common among its k nearest neighbors.
  • 关键词:Face Components; Texture Features Classification.
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