Abstract
The quality of finger vein images is a critical factor in affecting the performance of finger vein recognition systems. In this paper, a novel finger vein image evaluation method is proposed to reduce the influence of low quality images on recognition performance. Firstly, the gradient, image contrast, and information entropy of a finger vein image are extracted as image quality scores. Secondly, the score fusion approach based on Triangular norm is proposed to discriminate image quality. Finally, experimental results show that the proposed approach can effectively identify low quality finger vein images and help to improve finger vein recognition performance.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
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.