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Performance Comparison of Transforms using Row Mean and Column Mean for Hand Gesture Recognition

by Tanuja K. Sarode, Vaishali D. Sakpal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 78 - Number 9
Year of Publication: 2013
Authors: Tanuja K. Sarode, Vaishali D. Sakpal
10.5120/13514-1245

Tanuja K. Sarode, Vaishali D. Sakpal . Performance Comparison of Transforms using Row Mean and Column Mean for Hand Gesture Recognition. International Journal of Computer Applications. 78, 9 ( September 2013), 1-5. DOI=10.5120/13514-1245

@article{ 10.5120/13514-1245,
author = { Tanuja K. Sarode, Vaishali D. Sakpal },
title = { Performance Comparison of Transforms using Row Mean and Column Mean for Hand Gesture Recognition },
journal = { International Journal of Computer Applications },
issue_date = { September 2013 },
volume = { 78 },
number = { 9 },
month = { September },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume78/number9/13514-1245/ },
doi = { 10.5120/13514-1245 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:51:07.267310+05:30
%A Tanuja K. Sarode
%A Vaishali D. Sakpal
%T Performance Comparison of Transforms using Row Mean and Column Mean for Hand Gesture Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 78
%N 9
%P 1-5
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Human computer interaction is a major issue in research industry. In order to offer a way to enable untrained users to interact with computer more easily and efficiently gesture based interface has been paid more attention. This paper presents a new approach for hand gesture recognition. An approach consists of three modules: a) Preprocessing of the image b) Feature extraction c) Pattern matching for gesture recognition. Feature extraction is based on feature vector of transformed image using Discrete Cosine Transform, Walsh Transform, Haar transform and Kekre's transform. This transforms are applied on column mean and row mean of the images and various percentage of feature vectors are generated such as 100%, 50%, 25%, 12. 5% and 6. 25%. Results found to be better than existing system.

References
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  14. Thomas Moeslund's Gesture Recognition Database, http://www-Prima. inrialpes. fr/FGnet/data/12-Moeslund Gesture/ database. html
Index Terms

Computer Science
Information Sciences

Keywords

Hand gesture recognition Pattern Matching feature vector.

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