Static Sign Language Recognition Based on Edge Gradient Direction Histogram

In this paper, we use the edge gradient direction histogram as a feature vector for sign language recognition, set up normalized edge gradient direction histogram.The compare of gesture feature vector is rapid used Euclidean distance template matching method.The experiments result shows that the algorithm has the robustness to scene illumination changes, position translation and scale.This method is simple and fast, so we can apply this method to the hand gesture recognition system.