Postprocessing algorithm for security features extraction

One of the issues of fingerprint recognition is finding minutiae or ridges, which involves deciding whether the pixel evaluated is a valid minutiae (ridge ending or ridge bifurcation) or not. Usually, the minutiae are detected in the thinned image which contains a large number of false minutiae and...

Full description

Saved in:

Bibliographic Details
Main Authors:	Rozita, Mohd Yusof, Norrozila, Sulaiman
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2012
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/26996/1/Postprocessing%20algorithm%20for%20security%20features%20extraction.pdf http://umpir.ump.edu.my/id/eprint/26996/ https://doi.org/10.1109/ICeLeTE.2012.6333392
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Universiti Malaysia Pahang
Language:	English

id	my.ump.umpir.26996
record_format	eprints
spelling	my.ump.umpir.269962020-03-22T23:32:12Z http://umpir.ump.edu.my/id/eprint/26996/ Postprocessing algorithm for security features extraction Rozita, Mohd Yusof Norrozila, Sulaiman QA76 Computer software One of the issues of fingerprint recognition is finding minutiae or ridges, which involves deciding whether the pixel evaluated is a valid minutiae (ridge ending or ridge bifurcation) or not. Usually, the minutiae are detected in the thinned image which contains a large number of false minutiae and noises. Its may highly decrease the matching performance of the system. This paper proposes an algorithm which is used to eliminate spurious minutiae and non-component of fingerprint features. IEEE 2012 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26996/1/Postprocessing%20algorithm%20for%20security%20features%20extraction.pdf Rozita, Mohd Yusof and Norrozila, Sulaiman (2012) Postprocessing algorithm for security features extraction. In: IEEE International Conference on E-Learning and E-Technologies in Education (ICEEE 2012), 24-26 September 2012 , Lodz, Poland. pp. 219-222.. ISBN 978-1-4673-1678-1 https://doi.org/10.1109/ICeLeTE.2012.6333392
institution	Universiti Malaysia Pahang
building	UMP Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Pahang
content_source	UMP Institutional Repository
url_provider	http://umpir.ump.edu.my/
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Rozita, Mohd Yusof Norrozila, Sulaiman Postprocessing algorithm for security features extraction
description	One of the issues of fingerprint recognition is finding minutiae or ridges, which involves deciding whether the pixel evaluated is a valid minutiae (ridge ending or ridge bifurcation) or not. Usually, the minutiae are detected in the thinned image which contains a large number of false minutiae and noises. Its may highly decrease the matching performance of the system. This paper proposes an algorithm which is used to eliminate spurious minutiae and non-component of fingerprint features.
format	Conference or Workshop Item
author	Rozita, Mohd Yusof Norrozila, Sulaiman
author_facet	Rozita, Mohd Yusof Norrozila, Sulaiman
author_sort	Rozita, Mohd Yusof
title	Postprocessing algorithm for security features extraction
title_short	Postprocessing algorithm for security features extraction
title_full	Postprocessing algorithm for security features extraction
title_fullStr	Postprocessing algorithm for security features extraction
title_full_unstemmed	Postprocessing algorithm for security features extraction
title_sort	postprocessing algorithm for security features extraction
publisher	IEEE
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/26996/1/Postprocessing%20algorithm%20for%20security%20features%20extraction.pdf http://umpir.ump.edu.my/id/eprint/26996/ https://doi.org/10.1109/ICeLeTE.2012.6333392
_version_	1662754751874334720

Postprocessing algorithm for security features extraction

Similar Items