Abstract

In this paper, we present a novel algorithm for recognition of vein features based on optimized generalized Hough transform (GHT). The new algorithm involves several steps. First, it extracts singular points from the binary image of finger veins, and segments the finger veins by these points. Then it selects valid segments and sequences them by way of chain codes. Next it uses the optimized GHT to differentiate sectional curves of finger veins from the whole finger vein image. Using this approach reduces the influence of fragmentation, enhances adaptability for displacement, rotation, and zooming, and accordingly improves the quality of finger vein recognition. We have tested the proposed method with actual finger vein images and produced very satisfactory reassembly results.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.