A HAND VEIN STRUCTURE SIMULATION PLATFORM FOR ALGORITHM TESTING AND BIOMETRIC IDENTIFICATION

Septimiu Crisan, Ioan Gavril Tarnovan, Titus Eduard Crisan.
Abstract:
Scanning the veins in human hands for biometric purposes has become more and more appealing due to inexpensive hardware requirements and rather simple software processing algorithms. However, there are few studies regarding the repeatability or uniqueness of the actual vein pattern. Furthermore, algorithm testing is usually carried out on a limited number of sample images acquired under different hardware setups. This is mainly due because of the lack of a vein pattern image database aimed to provide researchers with sufficient data to test recognition algorithms. Creating a large database of real hand vein patterns is a difficult task in terms of time and money. Other biometric domains, such as fingerprint recognition, benefit from synthetic generated images that greatly aid the accuracy of a given processing technique. This paper will offer a novel implementation of a platform for synthetic vein pattern images of the back of the hand. While the reasons behind pattern forming of veins are not completely known, there is sufficient data to create realistic images of vein patterns based on model reconstruction from crossing points, terminations and general anatomy of the hand.
Download:
IMEKO-TC4-2008-101.pdf
DOI:
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Event details
IMEKO TC:
TC4
Event name:
Exploring New Frontiers of Instrumentation and Methods for Electrical and Electronic Measurements
Title:
XVIth IMEKO TC4 International Symposium on Electrical Measurements and Instrumentation (together with 13th IMEKO TC4 Workshop on ADC Modelling and Testing)
Place:
Florence, ITALY
Time:
22 September 2008 - 24 September 2008