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  A Novel Approach for Human Identification – Finger Vein Images  
  Authors : Vandana Gajare; S. V. Patil
  Cite as:


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.


Published In : IJCSN Journal Volume 5, Issue 1

Date of Publication : February 2016

Pages : 39-45

Figures :14

Tables : --

Publication Link : A Novel Approach for Human Identification – Finger Vein Images




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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