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文章基本信息

  • 标题:Finger Multi-biometric Cryptosystem using Feature-Level Fusion
  • 本地全文:下载
  • 作者:Li Lu ; Jialiang Peng
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2014
  • 卷号:7
  • 期号:3
  • 页码:223-236
  • DOI:10.14257/ijsip.2014.7.3.18
  • 出版社:SERSC
  • 摘要:In this paper, we propose a new finger multi-biometric cryptosystem using feature-level fusion to simultaneously protect multiple templates of fingerprint, finger vein, finger knuckle print and finger shape traits as a single secure sketch. We theoretically analyze the feature- level fusion for finger multi-biometric cryptosystem with respect to their impact on security and recognition accuracy. The comparative experimental results ascertain that finger multi- biometric cryptosystem outperforms the uni-biometric counterparts in terms of verification performance and template security.
  • 关键词:Finger; Multi-biometrics Cryptosystem; Template protection; Feature Fusion
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