International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Statistics report
Apr. 2024
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 133
Paper Published : 1712
No. of Authors : 4737
  Journal Paper


Paper Title :
Static Hand Gesture Recognition System For Device Control

Author :Chethana N S, Divya Prabha, M Z Kurian

Article Citation :Chethana N S ,Divya Prabha ,M Z Kurian , (2015 ) " Static Hand Gesture Recognition System For Device Control " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 27-29, Volume-3, Issue-4

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

Type : Research paper

Published : Volume-3, Issue-4


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