1 October 2011 Static hand gesture recognition from a video
Author Affiliations +
Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 82854F (2011) https://doi.org/10.1117/12.913267
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt
A sign language (also signed language) is a language which, instead of acoustically conveyed sound patterns, uses visually transmitted sign patterns to convey meaning- "simultaneously combining hand shapes, orientation and movement of the hands". Sign languages commonly develop in deaf communities, which can include interpreters, friends and families of deaf people as well as people who are deaf or hard of hearing themselves. In this paper, we proposed a novel system for recognition of static hand gestures from a video, based on Kohonen neural network. We proposed algorithm to separate out key frames, which include correct gestures from a video sequence. We segment, hand images from complex and non uniform background. Features are extracted by applying Kohonen on key frames and recognition is done.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rajeshree S. Rokade, Rajeshree S. Rokade, Dharmpal Doye, Dharmpal Doye, "Static hand gesture recognition from a video", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82854F (1 October 2011); doi: 10.1117/12.913267; https://doi.org/10.1117/12.913267


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