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  • 标题:Personal Authentication Using Finger Vein Biometric
  • 本地全文:下载
  • 作者:Pooja Chavan ; Wrushali Mendre
  • 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:2017
  • 卷号:5
  • 期号:8
  • 页码:14016
  • DOI:10.15680/IJIRCCE.2017.0508025
  • 出版社:S&S Publications
  • 摘要:Biometrics is defined as the recognition of a person using different characteristics or traits automatically.Finger vein based biometric recognition has increasingly generated interest amongst biometric researchers because ofthe accuracy, robustness and anti-spoofing properties. This idea proposes a new approach for personal authenticationusing finger back surface imaging. The texture pattern produced by the finger knuckle bending is highly unique andmakes the surface a distinctive biometric identifier. The authentication system investigates a finger vein biometricapproach by exploring the vein pattern that is present in the dorsal finger region. Thus, the dorsal finger vein patterncan be used as an independent biometric characteristic useful for the recognition of the target subject. This systemproposes a complete automated approach with the key steps of image capturing, Region of Interest (ROI) extraction,pre-processing to enhance the vein pattern, feature extraction and comparison.
  • 关键词:Biometric; Vein pattern; authentication; image capturing; pre-processing; extraction
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