Abstract
A new synthesis method of fingertip detection based on single camera is proposed, which effectively reduces the amount of computation while not relying on hardware performance too much. It provides portability as well because single camera is easy to get in contemporary devices, such as mobile phone. The main idea is to use the curvature of fingertip as a feature to distinguish the tip-part of finger in tracing the motion of hand. The Camshift algorithm is used to track the whole hand to diminish the detective region. The skin-color extraction method is used as an auxiliary part to enhance the ability of discriminating hand from background, which also helps to weaken the interferences produced by brightness of hand surface. Finally a serial frames is used to examine the performance of the new method. With the tracking part and the fingertip recognition part being tested respectively, the result indicates the performance clearly.
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.
