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
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.22684 /
Published: 2013
Subjects:
QA75 Electronic computers. Computer science
Online Access: http://utpedia.utp.edu.my/22684/1/20E08F~1.PDF
http://utpedia.utp.edu.my/22684/
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id utp-utpedia.22684
recordtype eprints
spelling 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.
institution Universiti Teknologi Petronas
collection UTPedia
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_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/
_version_ 1741195850617454592
score 11.62408

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