The week's pick
Reseach Article
Fingerprint and Palmprint Recognition using Neighborhood Operation and FAST Features
by
Swapnali G. Garud,
Apurva D. Dhawale,
Mazhar Kazi,
Y. S. Rode,
S. B. Dabhade,
K. V. Kale
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 95 - Number 12 |
| Year of Publication: 2014 |
| Authors: Swapnali G. Garud, Apurva D. Dhawale, Mazhar Kazi, Y. S. Rode, S. B. Dabhade, K. V. Kale |
10.5120/16648-6621
|
Swapnali G. Garud, Apurva D. Dhawale, Mazhar Kazi, Y. S. Rode, S. B. Dabhade, K. V. Kale . Fingerprint and Palmprint Recognition using Neighborhood Operation and FAST Features. International Journal of Computer Applications. 95, 12 ( June 2014), 25-33. DOI=10.5120/16648-6621
@article{
10.5120/16648-6621,
author = {
Swapnali G. Garud,
Apurva D. Dhawale,
Mazhar Kazi,
Y. S. Rode,
S. B. Dabhade,
K. V. Kale
},
title = { Fingerprint and Palmprint Recognition using Neighborhood Operation and FAST Features },
journal = {
International Journal of Computer Applications
},
issue_date = { June 2014 },
volume = { 95 },
number = { 12 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = {
25-33
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume95/number12/16648-6621/
},
doi = { 10.5120/16648-6621 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:19:17.915231+05:30
%A Swapnali G. Garud
%A Apurva D. Dhawale
%A Mazhar Kazi
%A Y. S. Rode
%A S. B. Dabhade
%A K. V. Kale
%T Fingerprint and Palmprint Recognition using Neighborhood Operation and FAST Features
%J International Journal of Computer Applications
%@ 0975-8887
%V 95
%N 12
%P 25-33
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this paper presents biometrics based fingerprint and palmprint recognition and authentication system. Fingerprint and palmprint images are enhanced using preprocessing techniques such as morphological operations. The feature extraction techniques such as neighborhood operation and FAST feature algorithm is used to independently extract fingerprint and palmprint features. These techniques are more reliable and faster than traditional techniques used. Experimental results shown recognition rate 89. 29% for fingerprint and 100% for palmprint this implies that the proposed methodology has better performance and is more reliable over the techniques proposed and used earlier.
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Index Terms
Computer Science
Information Sciences
Keywords