Hand Geometry Recognition System Using Feature Extraction  

Abstract

Biometrics traits such as fingerprints, hand geometry, face and voice verification provide a reliable alternative for identity verification and are gaining commercial and high user acceptability rate. Hand geometry based biometric system has proven to be the most suitable and acceptable biometric trait for medium and low security application. Geometric measurements of the human hand have been used for identity authentication in a number of commercial systems. This paper proposes a technique for hand biometric feature extraction using hand contour matching. Hand shape feature is obtained by using Euclidian distance from starting reference point and then calculate the tip and valley point of finger. Then apply some mathematical calculation for calculate the hand geometry features like finger length, width and perimeter.  

Authors and Affiliations

Poonam Rathi, , Dr. Sipi Dubey

Keywords

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  • EP ID EP141307
  • DOI -
  • Views 89
  • Downloads 0

How To Cite

Poonam Rathi, , Dr. Sipi Dubey (2013). Hand Geometry Recognition System Using Feature Extraction  . International Journal of Advanced Research in Computer Engineering & Technology(IJARCET), 2(6), 2064-2067. https://europub.co.uk/articles/-A-141307