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文章基本信息

  • 标题:A Comparative Study in Wavelets, Curvelets and Contourlets as Feature Sets for Pattern Recognition
  • 本地全文:下载
  • 作者:Angshul Majumdar ; Arusharka Bhattacharya
  • 期刊名称:The International Arab Journal of Information Technology
  • 印刷版ISSN:1683-3198
  • 出版年度:2009
  • 卷号:6
  • 期号:1
  • 出版社:Zarqa Private University
  • 摘要:There have been a number of recent works in computer vision that had used new age multiresolution multidirectional transforms like curvelets and contourlets for face and character recognition. Although these works produced high recognition accuracies they did not provide any comparative study against more well known techniques and hence could not justify the use of these new transforms as against more traditional methods. In this work we will compare the recognition accuracies of the aforesaid two transforms against a very well known multiresolution transform viz. the wavelet transform. this study aims at showing the research community how good or how bad the aforesaid transforms are when compared against wavelets as a feature set for pattern recognition
  • 关键词:Curvelet; contourlet; face recognition; character recognition
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