Research Article
An FPGA based Minutiae Extraction System for Fingerprint Recognition
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 111 - Issue 12 |
| Published: February 2015 |
| Authors: Yousra Wakil, Sehar Gul Tariq, Aniza Humayun, Naeem Abbas |
10.5120/19592-1362
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Yousra Wakil, Sehar Gul Tariq, Aniza Humayun, Naeem Abbas . An FPGA based Minutiae Extraction System for Fingerprint Recognition. International Journal of Computer Applications. 111, 12 (February 2015), 31-35. DOI=10.5120/19592-1362
@article{ 10.5120/19592-1362,
author = { Yousra Wakil,Sehar Gul Tariq,Aniza Humayun,Naeem Abbas },
title = { An FPGA based Minutiae Extraction System for Fingerprint Recognition },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 111 },
number = { 12 },
pages = { 31-35 },
doi = { 10.5120/19592-1362 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Yousra Wakil
%A Sehar Gul Tariq
%A Aniza Humayun
%A Naeem Abbas
%T An FPGA based Minutiae Extraction System for Fingerprint Recognition%T
%J International Journal of Computer Applications
%V 111
%N 12
%P 31-35
%R 10.5120/19592-1362
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Fingerprint holds a higher priority among other identification techniques such as passwords, keys and ID cards. Biometric systems which include fingerprint recognition, is essential as every individual has a unique fingerprint pattern. An efficient approach towards fingerprint recognition is through the implementation of image processing techniques that can be performed efficiently along with embedded systems such as FPGA for fast execution. This paper presents FPGA based architecture for fingerprint recognition by using Xilinx System Generator that efficiently implements the highly demanding image processing techniques along with crossing number method of ridge feature based technique. Moreover minutiae matching algorithm and input from sensor for real time authentication of fingerprints can further be implemented on this system.
References
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