Abstract
Recently, palm vein recognition is new biometric technology with a high degree of privacy and security because this technique uses the blood vessels under the palm skin to establish identification. This paper proposes a novel palm vein feature extraction method for contactless palm vein recognition based on combining enhanced center-symmetric local binary pattern (ECS-LBP) with SIFT, called EL-SIFT. The proposed method includes two steps: (1) applying ECS-LBP to detect stable and clear palm-vein lines; and (2) extracting SIFT feature on palm vein lines image. The experimental results on the public contactless palm vein databases (CASIA Multi-spectral Palm vein Image Database V1.0) show that our proposed method is accurate and robust for palm vein recognition in comparing with other approaches in the literature.
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.
