Radon Transform Inspired Method for Hand Gesture Recognition

Touchless communication is a new field for commanding electronic devices. This method is highlighted when hygiene is a special issue. Automated hand gesture recognition needs processing of hand images. Many research works have tried to cope with this recognition problem. Complexity and high computational costs are important drawbacks that make realtime execution of these algorithms difficult. In this paper a new hand gesture recognition method is proposed. To show the functionality of our method we show how it can be used for recognition of the number of fingers in segmented images. Also the proposed algorithm can estimate angles of fingers, direction of the hand, and positions of fingers. In this work, we transform an image to intercept-slope coordinate using a proposed Radon transform inspired mapping. Using this mapping, the algorithm becomes invariant to rotation, scale and position. Straight and separated fingers will be extracted and their locations and angles are feasible to be determined as well. Simplicity and robustness against rotation, scaling and position and also having no complex mathematical calculation are advantages of our work.