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文章基本信息

  • 标题:Research on The Advanced Block Neighborhood Relevance Algorithm in Face Recognition
  • 本地全文:下载
  • 作者:Yanling Wang ; Guanglun Li
  • 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:7
  • 页码:193-202
  • DOI:10.14257/ijsip.2016.9.7.16
  • 出版社:SERSC
  • 摘要:Concerning the face image recognition, this paper comes up with a block neighborhood relevance algorithm. Firstly, it elaborates the computational method for face image block neighborhood relevance so as to find out the smooth region and then extract features and carry out dimension reduction. Finally, the maximum margin criterion is introduced in face image improve the classification performance. Simulation experiment proves that the algorithm adopted in this paper can effectively improve the face image recognition effect.
  • 关键词:Image Processing; Block Neighborhood Relevance; Maximum Margin ; Criterion
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