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Veins based Authentication System

by Amit P. Sahu, Bharathi H.n
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 20
Year of Publication: 2015
Authors: Amit P. Sahu, Bharathi H.n
10.5120/21346-4360

Amit P. Sahu, Bharathi H.n . Veins based Authentication System. International Journal of Computer Applications. 120, 20 ( June 2015), 38-42. DOI=10.5120/21346-4360

@article{ 10.5120/21346-4360,
author = { Amit P. Sahu, Bharathi H.n },
title = { Veins based Authentication System },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 20 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 38-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number20/21346-4360/ },
doi = { 10.5120/21346-4360 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:07:03.962837+05:30
%A Amit P. Sahu
%A Bharathi H.n
%T Veins based Authentication System
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 20
%P 38-42
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Biometric system such as finger, face, iris, ear, voice, DNA etc. is used for personal identification. Authentication based on vein pattern is an approach that uses the vast network of blood vessels that lie underneath a skin on back of the hand. Vein pattern are unique and also difficult to duplicate. In this paper, we present an approach to identify the user using hand vein pattern and knuckle shape extraction from hand vein image. Low cost IR camera imaging has been used to capture the image. The system consists of image acquisition, image pre -processing, feature extraction and matching. The score are generated in two stages for matching: minutiae feature extraction point technique from thinned vein pattern and the calculation of knuckle point perimeter distance from the acquired images. These two scores are used for matching, to authenticate the user.

References
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  2. L. Wang,C. G Leedham, "A Thermal Hand Vein Pattern Verification System" in Pattern Recognition and Image Analysis, of Lecture Notes in Computer Science, Springer 3687/pp. 58–65 (2005).
  3. L. Wang, G. Leedham, D. Siu-Yeung Cho, "Minutiae feature analysis for infrared hand vein pattern biometrics" in Pattern Recognition 41/3/pp. 920-929 (2008).
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  8. A. Kumar and K. V. Prathyusha, Personal authentication using hand vein trian- gulation and knuckle shape," IEEE Transactions on Image Processing, no. 38, pp. 2127/2136, 2009
  9. Mohit Soni, Sandesh Gupta, M. S. Rao, Phalguni Gupta. " A New Vein Pattern-based verification System", International Journal of Computer Science and Information Security, Vol. 8, No. 1, pp. 58-63, 2010.
  10. FUJITSU. http://www. fujitsu. com/global/about/rd/200506palm-vein. html
Index Terms

Computer Science
Information Sciences

Keywords

Minutaie bifurcation veins pattern skeletionization binarization

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