Abstract
Palm vein is covered with skin, some captured NIR palm vein images are not clear because of light scattering in the skin. The identification performance is not high by extraction palm vein feature directly. This paper proposes project the palm vein image matrix based on two dimensional Fisher linear discriminant directly, then calculates the Euclidean distance of the projection matrix, seeks the nearest distance for classification. The experiment has been done in a self-build palm vein database. Firstly, this paper tests the proposed method by different component numbers, then compares the identification performance with the other typical palm vein recognition methods.
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 callDisclaimer: 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.
