Research Article
Correlation based Fingerprint Image Segmentation
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 68 - Issue 7 |
| Published: April 2013 |
| Authors: Shekhar R. Suralkar, Pradeep M. Patil |
10.5120/11588-6926
|
Shekhar R. Suralkar, Pradeep M. Patil . Correlation based Fingerprint Image Segmentation. International Journal of Computer Applications. 68, 7 (April 2013), 1-3. DOI=10.5120/11588-6926
@article{ 10.5120/11588-6926,
author = { Shekhar R. Suralkar,Pradeep M. Patil },
title = { Correlation based Fingerprint Image Segmentation },
journal = { International Journal of Computer Applications },
year = { 2013 },
volume = { 68 },
number = { 7 },
pages = { 1-3 },
doi = { 10.5120/11588-6926 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A Shekhar R. Suralkar
%A Pradeep M. Patil
%T Correlation based Fingerprint Image Segmentation%T
%J International Journal of Computer Applications
%V 68
%N 7
%P 1-3
%R 10.5120/11588-6926
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this paper, a correlation based fingerprint image segmentation technique is presented. Segmented is a useful image processing tool generally used in Machine vision applications in the Pattern Recognition and classification that leads to the separation of area of interest (AOI) from an image based on some image parameters like gray levels. In this proposed method, direction based segmentation is presented without computing and use of any directional field whose effectiveness has been evaluated for several finger print images (databases like FVC2002, FVC2000).
References
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