Publish In |
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC |
Journal Home Volume Issue |
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Issue |
Volume-3, Issue-4 ( Apr, 2015 ) | |||||||||
Paper Title |
Static Hand Gesture Recognition System For Device Control | |||||||||
Author Name |
Chethana N S, Divya Prabha, M Z Kurian | |||||||||
Affilition |
M.Tech student (Digital Electronics), SSIT, Tumkur, Karnataka Associate Professor, Dept of ECE, SSIT, Tumkur, Karnataka H.O.D, Dept of ECE, SSIT, Tumkur, Karnataka | |||||||||
Pages |
27-29 | |||||||||
Abstract |
The primary goal of Gesture Recognition is to create a system which can recognize specific human gestures and can be used to convey information or for device control. This paper aims at development of a Hand Gesture Recognition (HGR) system captured from a webcam in real time. The system consists of three stages: image acquisition, feature extraction, and recognition. In the first stage input image of hand gestures are acquiesced by digital camera in approximate frame rate. In second stage a rotation, scaling and orientation invariant feature extraction method has been introduced to extract the feature of the input image. Finally, edge detection is used and K-Curvature algorithm is applied to recognize the hand gestures. Keywords: Hand Gesture Recognition, Static HGR | |||||||||
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