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Segmentation of one and two hand gesture recognition using key frame selection.
Content Provider | CiteSeerX |
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Author | Kshirsagar, Ketki P. |
Abstract | 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. |
File Format | |
Access Restriction | Open |
Subject Keyword | Key Frame Selection Hand Gesture Recognition Pattern Recognition British Sign Language Communication Capability American Sign Language Popular Research Area Computer Vision Uniform Background Colour Segmentation Uniform Experimental Result Mute Person Image Processing Sign Language Recognition |
Content Type | Text |