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Gabor Filter Based Feature Vector for Dynamic Signature Recognition
by
H B Kekre,
V A Bharadi
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 2 - Number 3 |
| Year of Publication: 2010 |
| Authors: H B Kekre, V A Bharadi |
10.5120/639-895
|
H B Kekre, V A Bharadi . Gabor Filter Based Feature Vector for Dynamic Signature Recognition. International Journal of Computer Applications. 2, 3 ( May 2010), 74-80. DOI=10.5120/639-895
@article{
10.5120/639-895,
author = {
H B Kekre,
V A Bharadi
},
title = { Gabor Filter Based Feature Vector for Dynamic Signature Recognition },
journal = {
International Journal of Computer Applications
},
issue_date = { May 2010 },
volume = { 2 },
number = { 3 },
month = { May },
year = { 2010 },
issn = { 0975-8887 },
pages = {
74-80
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume2/number3/639-895/
},
doi = { 10.5120/639-895 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:49:57.798357+05:30
%A H B Kekre
%A V A Bharadi
%T Gabor Filter Based Feature Vector for Dynamic Signature Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 2
%N 3
%P 74-80
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Dynamic signature recognition is one of the commonly used biometric traits. In this paper we propose use of Gabor filters based feature for verification of dynamic signature. We incorporate the timing information available in the signature along with the Gabor filter response to generate the feature vector. Gabor filters have been widely used for image, texture analysis. Here we present analysis for the Gabor filter based feature vector of a dynamic signature.
References
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Index Terms
Computer Science
Information Sciences
Keywords