eprintid: 2251
rev_number: 7
eprint_status: archive
userid: 338
dir: disk0/00/00/22/51
datestamp: 2016-12-28 09:45:57
lastmod: 2016-12-28 14:51:15
status_changed: 2016-12-28 09:45:57
type: conference_item
metadata_visibility: show
creators_name: Le, Hong Hai
creators_name: Nguyen, Ngoc Hoa
creators_id: hoa.nguyen@vnu.edu.vn
title: Toward an approach to improving the consolidation stage of fingerprint matching
ispublished: pub
subjects: IT
divisions: fac_fit
abstract: Consolidation stage is a component of fingerprint matching algorithms. It aims to check whether the local matching minutiae pairs still satisfy at the global alignment level of two fingerprints. In this paper, we review some consolidation methods used in the consolidation stage and propose a verification step to improve the quality of the consolidation methods by removing unmatched minutiae pairs. We carry out our proposal on two popular fingerprint matching algorithms: K-plet based and m-Triplet based one. The results of our experiments on FVC 2002-DB1 database show that the modified algorithms get better accuracy and not affect to the speed of the original one.
date: 2013
date_type: published
full_text_status: none
pres_type: poster
publication: RIVF 2013
event_title: The 2013 IEEE RIVF International Conference on Computing and Communication Technologies (RIVF)
event_location: Hanoi, Vietnam
event_dates: 11-13 November 2013
event_type: conference
refereed: FALSE
citation:   Le, Hong Hai and Nguyen, Ngoc Hoa  (2013) Toward an approach to improving the consolidation stage of fingerprint matching.  In: The 2013 IEEE RIVF International Conference on Computing and Communication Technologies (RIVF), 11-13 November 2013, Hanoi, Vietnam.