Finger vein is a unique physiological biometric
for identifying individuals based on the physical
characteristics and attributes of the vein patterns in the
human. The technology is currently in use or development
for a wide variety of applications, including credit card
authentication, automobile security, employee time and
attendance tracking, computer and network authentication,
end point security and automated teller machines. The
proposed system simultaneously acquires the finger-vein and
low-resolution finger image images and combines these two
evidences using a novel score-level combination strategy.
Examine the previously proposed finger-vein identification
approaches and develop a new approach that illustrates it
superiority over prior published efforts. In this paper
developed and investigated two new score-level combinations,
i.e. Gabor filter, Repeated Line Tracking with Median filter
and comparatively evaluate them with more popular scorelevel
fusion approaches to ascertain their effectiveness in the
proposed system.
Ms. Vandana Gajare : had completed her BE in E&TC and
pursuing M.E from J. T. Mahajan college of engineering Faizpur,
Maharashtra.
Mr. S. V. Patil : M.E(Control &Instrumentation) working as a
Sr.Lecturer in Dept. of E&TC. J.T. Mahajan College of
Engineering, Faizpur. Maharashtra.
Feature Extraction
Finger Vein Recognition
System
Gabor Filter
Repeated Line Tracking
Median Filter
This paper will present a complete and fully automated
Finger image matching framework by simultaneously
utilizing the Finger surface and Finger subsurface features,
i.e., from Finger-vein images. Security is becoming
essential in all kind of application. This project is
implemented in a way to improve the security level. As the
finger-vein is a promising biometric pattern for personal
identification in terms of its security and convenience.
Also the vein is hidden inside the body and is mostly
invisible to human eyes, so it is difficult to forge or steal.
The non-invasive and contactless capture of finger-veins
ensures both convenience and hygiene for the user, and is
thus more acceptable. So this system is more hopeful in
improving the security level. This will present a new
algorithm for the Finger-vein identification, which can
more reliably extract the Finger-vein shape features and
achieve much higher accuracy than previously proposed
Finger-vein identification approaches. Our Finger vein
matching scheme will work more effectively in more
realistic scenarios and leads to a more accurate
performance, as will be demonstrated from the
experimental results.
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