Abstract
In this paper, a hand vein acquisition system is devised, and a new coordinate localization-based algorithm for extracting the region of interest (ROI) of hand vein images is proposed for this system. This algorithm uses the low and right boundaries of hands as the y-axis and x-axis, respectively, to build a coordinate system to determine the position of the ROI of hand vein images. The acquisition system gets the hand vein images with low resolution and the proposed algorithm can perform very well for low-resolution images. We use the designed acquisition device to collect a hand vein database. This database and another database are used to conduct ROI extraction and hand vein recognition experiments. The experimental results show that the ROI images can be successfully and effectively extracted from different hand vein images, and the proposed algorithm can achieve high recognition accuracies.
Sign-in/Register to access full text options 
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 callMore From: Optik - International Journal for Light and Electron Optics
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.
