Finger Vein Verification with the Help of Gabor Filter and Repeated Line Tracking

Abstract

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. 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. We examine the previously proposed finger-vein identification approaches and develop a new approach that illustrates it superiority over prior published efforts. In this thesis I developed and investigated two new score-level combinations, i.e., Gabor filter and Reapted Line Tracking, and comparatively evaluate them with more popular score-level fusion approaches to ascertain their effectiveness in the proposed system.

Keywords: Finger-vein recognition, Gabor filter, Biometrics, Image Recognition and Reapted Line Tracking.