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

GUPTA, SHIKHA (2014) HYBRID ALGORITHM FOR HAND GESTURE RECOGNITION USING LOCAL GABOR FILTER AND MEL FREQUENCY CEPSTRAL COEFFICIENTS. Masters thesis, UTP.

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Abstract

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.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments / MOR / COE: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Mr Ahmad Suhairi Mohamed Lazim
Date Deposited: 22 Feb 2022 06:45
Last Modified: 24 Jul 2024 01:43
URI: http://utpedia.utp.edu.my/id/eprint/22684

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