Static hand gestures recognition system using shape based features

In this paper, an easy and a simple approach using shape based features to recognize alphabets of Indian Sign Language (ISL) has been proposed. Geometrical features and Zernike Moments (ZM) of hand shapes are extracted. Covariance and minimum Euclidean Distance are used for recognition of sign. For 19 ISL alphabets, high recognition rate is achieved.