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文章基本信息

  • 标题:Fast Matching Algorithm Based on Fingerprint Classification Information
  • 本地全文:下载
  • 作者:Na Li ; Wenbi Rao ; Tiecheng Xu
  • 期刊名称:International Journal of Wireless and Microwave Technologies(IJWMT)
  • 印刷版ISSN:2076-1449
  • 电子版ISSN:2076-9539
  • 出版年度:2011
  • 卷号:1
  • 期号:2
  • 页码:41-46
  • 出版社:MECS Publisher
  • 摘要:This paper focuses on fingerprint minutia matching algorithm. A special minutia neighbor structure is proposed during the matching process in this algorithm. It can locate fingerprints using the singular from classification information. In addition, minutia structure can be used to save the time of matching minutia in a simple but effective way. Then, the matching of minutia is based on the changeable sized boundary box. At the same time, possible reference position is computed to make sure the algorithm more robust to nonlinear deformation from fingerprint images. Experimental results on Fingerprint verification competition FVC2004 databases show that this algorithm can speed up the matching of fingerprint database with a preferable performance.
  • 关键词:Fingerprint identification; classification; matching; singular point
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