DOIONLINE

DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-1924

Publish In
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC
Journal Home
Volume Issue
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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