HYBRID ALGORITHM FOR HAND GESTURE RECOGNITION USING LOCAL GABOR FILTER AND MEL FREQUENCY CEPSTRAL COEFFICIENTS
Hand gesture is a movement ofhands having meaning to speak, with other people. However, using hand gestures as a medium for communication requires correct recognition of indeed pose and due to this, hand gesture recognition is an active area of research in the vision community. Various algorithms...
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my-utp-utpedia.226842022-02-22T06:45:58Z http://utpedia.utp.edu.my/22684/ HYBRID ALGORITHM FOR HAND GESTURE RECOGNITION USING LOCAL GABOR FILTER AND MEL FREQUENCY CEPSTRAL COEFFICIENTS GUPTA, SHIKHA QA75 Electronic computers. Computer science Hand gesture is a movement ofhands having meaning to speak, with other people. However, using hand gestures as a medium for communication requires correct recognition of indeed pose and due to this, hand gesture recognition is an active area of research in the vision community. Various algorithms are proposed for gesture recognition, but not optimally designed for accuracy. Accuracy is the most important parameter for any recognition system as compared to other significant parameters. Increase in accuracy leads to decrease in the performance of other parameters; specifically, it leads the algorithm to high complexity. 2013 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/22684/1/20E08F~1.PDF GUPTA, SHIKHA (2013) HYBRID ALGORITHM FOR HAND GESTURE RECOGNITION USING LOCAL GABOR FILTER AND MEL FREQUENCY CEPSTRAL COEFFICIENTS. Masters thesis, UTP. |
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QA75 Electronic computers. Computer science GUPTA, SHIKHA HYBRID ALGORITHM FOR HAND GESTURE RECOGNITION USING LOCAL GABOR FILTER AND MEL FREQUENCY CEPSTRAL COEFFICIENTS |
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Hand gesture is a movement ofhands having meaning to speak, with other people.
However, using hand gestures as a medium for communication requires correct
recognition of indeed pose and due to this, hand gesture recognition is an active area
of research in the vision community. Various algorithms are proposed for gesture
recognition, but not optimally designed for accuracy. Accuracy is the most important
parameter for any recognition system as compared to other significant parameters.
Increase in accuracy leads to decrease in the performance of other parameters;
specifically, it leads the algorithm to high complexity. |
format |
Thesis |
author |
GUPTA, SHIKHA |
author_facet |
GUPTA, SHIKHA |
author_sort |
GUPTA, SHIKHA |
title |
HYBRID ALGORITHM FOR HAND GESTURE RECOGNITION USING LOCAL
GABOR FILTER AND MEL FREQUENCY CEPSTRAL COEFFICIENTS |
title_short |
HYBRID ALGORITHM FOR HAND GESTURE RECOGNITION USING LOCAL
GABOR FILTER AND MEL FREQUENCY CEPSTRAL COEFFICIENTS |
title_full |
HYBRID ALGORITHM FOR HAND GESTURE RECOGNITION USING LOCAL
GABOR FILTER AND MEL FREQUENCY CEPSTRAL COEFFICIENTS |
title_fullStr |
HYBRID ALGORITHM FOR HAND GESTURE RECOGNITION USING LOCAL
GABOR FILTER AND MEL FREQUENCY CEPSTRAL COEFFICIENTS |
title_full_unstemmed |
HYBRID ALGORITHM FOR HAND GESTURE RECOGNITION USING LOCAL
GABOR FILTER AND MEL FREQUENCY CEPSTRAL COEFFICIENTS |
title_sort |
hybrid algorithm for hand gesture recognition using local
gabor filter and mel frequency cepstral coefficients |
publishDate |
2013 |
url |
http://utpedia.utp.edu.my/22684/1/20E08F~1.PDF http://utpedia.utp.edu.my/22684/ |
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1739832976918708224 |