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  • 标题:Finger Vein Network Enhancement with SVM
  • 本地全文:下载
  • 作者:Mudasir Ahmad ; Sahil Dalwal
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2015
  • 卷号:3
  • 期号:7
  • DOI:10.15680/ijircce.2015. 0307017
  • 出版社:S&S Publications
  • 摘要:This paper presents the work which simultaneously acquires the finger-vein and low-resolution fingerimages and that combines these two techniques which using a better score-level combination strategy. Here, analyzingthe previous proposed finger-vein identification approaches and develop a new approach that describes it superiorityover prior published efforts. In this thesis here develop and analyze the three new score-level combinations which arerepeated line tracking, support vector machine and maximum curvature comparatively evaluate them with more popularscore-level fusion approaches to ascertain their effectiveness in the proposed system
  • 关键词:Finger vein; Image enhancement; Biometrics; SVM
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