Segmentation of One and Two Hand Gesture Recognition using Key Frame Selection

The sign language recognition is the most popular research area involving computer vision, pattern recognition and image processing. It enhances communication capabilities of the mute person. In this paper, we present an object based key frame selection and skin colour segmentation uniform and no uniform background for one and two hand gesture recognition. Experimental results demonstrate the effectiveness of our proposed scheme for recognizing efficiency 99.50% for static and 98.09% for dynamic one handed American Sign Language and 99.00% for static and 97.03 % for dynamic two handed British sign language.