Real-time hand shape classification using scale invariant curvature feature vector

Hand shape classification is an important problem for the human computer interaction and the finger-spelling recognition. For this matter, what is needed is a real-time processing and scale invariance. To this end, we propose a feature vector for hand shape classification, which is fast, and robust to scale. The proposed method calculates an adaptive k-curvature which computes a curvature depending on hand size. The proposed method works at 0.1sec and has a 99% accuracy.