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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Main Author:	GUPTA, SHIKHA
Format:	Thesis
Language:	English
Published:	2014
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://utpedia.utp.edu.my/id/eprint/22684/1/20E08F~1.PDF http://utpedia.utp.edu.my/id/eprint/22684/
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Institution:	Universiti Teknologi Petronas
Language:	English

id	oai:utpedia.utp.edu.my:22684
record_format	eprints
spelling	oai:utpedia.utp.edu.my:226842024-07-24T01:43:03Z http://utpedia.utp.edu.my/id/eprint/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. 2014 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/id/eprint/22684/1/20E08F~1.PDF GUPTA, SHIKHA (2014) HYBRID ALGORITHM FOR HAND GESTURE RECOGNITION USING LOCAL GABOR FILTER AND MEL FREQUENCY CEPSTRAL COEFFICIENTS. Masters thesis, UTP.
institution	Universiti Teknologi Petronas
building	UTP Resource Centre
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Petronas
content_source	UTP Electronic and Digitized Intellectual Asset
url_provider	http://utpedia.utp.edu.my/
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science GUPTA, SHIKHA HYBRID ALGORITHM FOR HAND GESTURE RECOGNITION USING LOCAL GABOR FILTER AND MEL FREQUENCY CEPSTRAL COEFFICIENTS
description	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	2014
url	http://utpedia.utp.edu.my/id/eprint/22684/1/20E08F~1.PDF http://utpedia.utp.edu.my/id/eprint/22684/
_version_	1805891071167692800

HYBRID ALGORITHM FOR HAND GESTURE RECOGNITION USING LOCAL GABOR FILTER AND MEL FREQUENCY CEPSTRAL COEFFICIENTS

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