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Real Time Fingers and Palm Locating using Dynamic Circle Templates

by Mokhtar M. Hasan, Pramod K. Mishra
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 41 - Number 6
Year of Publication: 2012
Authors: Mokhtar M. Hasan, Pramod K. Mishra
10.5120/5547-7615

Mokhtar M. Hasan, Pramod K. Mishra . Real Time Fingers and Palm Locating using Dynamic Circle Templates. International Journal of Computer Applications. 41, 6 ( March 2012), 33-43. DOI=10.5120/5547-7615

@article{ 10.5120/5547-7615,
author = { Mokhtar M. Hasan, Pramod K. Mishra },
title = { Real Time Fingers and Palm Locating using Dynamic Circle Templates },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 41 },
number = { 6 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 33-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume41/number6/5547-7615/ },
doi = { 10.5120/5547-7615 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:28:56.268472+05:30
%A Mokhtar M. Hasan
%A Pramod K. Mishra
%T Real Time Fingers and Palm Locating using Dynamic Circle Templates
%J International Journal of Computer Applications
%@ 0975-8887
%V 41
%N 6
%P 33-43
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Real time and interactive systems require a high speed processing of input images or input signals and the response should be within acceptable time limit, these systems must have a remarkable response time for their trained actions and for that reason it is called real time systems, we have proposed in this paper a novel approach for real time fingers and palm detection by using the dynamic circle templates for capturing the hand structure, we have captured the structure of the hand object which includes the fingers and palm and we also located the fingertips , finger bases and palm center as well as the structure of each, we have sort the fingers sequence and have been indexed properly from left to right using our novel finger sorting algorithm, our proposed algorithm has shown a significant accuracy as well as the time required for this operation which is 82 milliseconds for fingers/palm detecting out of segmented hand object, our proposed algorithm can detect the fingers without any prior assumption for hand direction and without any limitation for the number of fingers used or their poses as well.

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Index Terms

Computer Science
Information Sciences

Keywords

Gesture Recognition System Template Matching Geometric Features

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