Finger Vein using Repeated Line Tracking, Gabor Filter and K-Means

Volume: 3    Issue: 1

Year of Publication: 2016

Pages: (20-24)

Authors: Navpreet Kaur, Er. Varinderjit Kaur, Dr. Naveen Dhillon

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Abstract

Finger vein is a unique physiological biometric for identifying individuals based on the physical characteristics and attributes of the vein patterns. This technology is at present in use or development for a wide range of applications; this contain credit card authentication; security in automobile; employee time and tracking attendance; computer and network authentication and security[1]. The proposed work simultaneously acquires the finger-vein and low-resolution finger image images and combines these two techniques using a better score-level combination strategy of finger vein. Analyse the previously proposed finger-vein identification approaches and develop a new approach that describes it superiority over prior efforts. In this thesis developed and analyzed three new score-level combinations i.e., Repeated Line Tracking, Gabor Filter and K-means comparatively evaluate them with more popular score-level fusion approaches to ascertain their effectiveness in the proposed system.

References

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Keywords

Finger vein; Gabor Filter; Repeated Line Tracking and K-Means.