A Hand Gesture Recognition System Based on Geometric Features and Color Information for Human Computer Interaction Tasks

This work presents a computer vision system to recognize specific hand gestures. Main contribution of this paper is the combination of hand geometry and color information of interesting regions in the image of a person interacting with a computer. The proposed system is fast enough to enable the recognition of hand gestures in real time. We present quantitative and qualitative tests to evaluate the performance the proposed approach. The achieved implementation exhibits robust behavior with respect to illumination changes and hand pose changes.

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