Hand vein authentication system using connected minutiae neighbours
by Munaga V.N.K. Prasad; Ilaiah Kavati
International Journal of Trust Management in Computing and Communications (IJTMCC), Vol. 2, No. 3, 2014

Abstract: This paper proposes an efficient personal authentication technique using hand vein patterns. A dynamic region of interest (ROI) extraction algorithm is presented through which more features can be extracted compared to the fixed ROI. The proposed system extracts the minutiae (bifurcation and end points) of the vein pattern after a series of preprocessing steps such as image enhancement, noise removal, binarisation and thinning. The system then computes the connected minutiae neighbours of each minutiae in the vein pattern. Finally, a matching algorithm that uses the minutiae neighbour information is applied for authentication. The proposed system is evaluated using a vein pattern database of 194 images. It has been found that the proposed algorithm has performed better compared to others and has been able to achieve an equal error rate of 1.2%.

Online publication date: Sat, 21-Feb-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Trust Management in Computing and Communications (IJTMCC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com