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).
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