Abstract
A mobile computer vision system for real-time biometric hand-based identification is presented in the paper. This system is characterized by a flexible client---server architecture and a simple interface for interaction with the end user. It may be implemented on any mobile device under Android operating system version 4.0 or higher with an integrated camera and Internet access. The designed system was applied for collecting a hand database with further field testing. To solve identification problems, a continuous skeleton approach was used, which showed satisfactory results, and may thus be applicable as a part of a more complex multimodal classification scheme of hands (objects) by people (classes).
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.
