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  • 标题:Vein Pattern for Personal Authentication
  • 本地全文:下载
  • 作者:Sujata Kulkarni ; Dr. R .D. Raut ; Dr.P.K.Dakhole
  • 期刊名称:International Journal of Electronics, Communication and Soft Computing Science and Engineering
  • 印刷版ISSN:2277-9477
  • 出版年度:2015
  • 卷号:4
  • 期号:Special 1
  • 出版社:IJECSCSE
  • 摘要:It is essential to guard the secrete information fromspoofing. Safe and sound personal recognition method isimportant in today’s e-world. This paper highlights the securepersonal authentication using the finger vein patternexternal biometrics traits tamper authentication system thataffects the recognition accuracy. Vein pattern present beneath theskin is unique and not easy to spoof. This is the internal veinpattern which is safe and not affected from the wear, tear, andwet and dry condition like fingerprint. It is attractive technologythat provides high security and reliability than otheridentification technology. This paper explores the fingerframework using the Kekre’s wavelet transform for gextraction. The algorithm is tested on the own finger veindatabase of 128x128 size of 500 samples of 50 users covers allcategory from teenager to senior citizen shows better recognitionperformance.
  • 关键词:finger vein; finger vein sensor; Kekre wavelet;transform; recognition.
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