Secured Finger Vein Authentication System Using Contourlet Transform and SVM

Abstract:

Biometrics authentication is playing a vital role in providing security and privacy. This paper presents a contemporary approach for identifying an individual using unimodal biometrics. Finger vein based authentication system is a promising technology and now-a-days widely used because of its important features such as resistant to criminal tampering, high accuracy, ease of feature extraction and greater authentication speed. The feature vein patterns extracted by Contourlet transform decompose into directional sub bands in different orientations at various scales. The Support Vector Machine (SVM) classifier is used for pattern matching. Thus the experimental results shows that our proposed method tested on two different databases of finger vein images improves recognition rate with high matching speed.

• Periodical: Applied Mechanics and Materials (Volume 573)
• Pages: 465-470
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.573.465
• Online since: June 2014
• Authors: C. Murukesh*, T.K. Nadesh, K. Thanushkodi
• Keywords: Authentication, Biometrics, Contourlet Transform, Support Vector Machine (SVM)

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