Reducing computational complexity in fingerprint matching Sabir, Mubeen, Khan, Tariq M, Arshad, Munazza and Munawar, Sana 2020, Reducing computational complexity in fingerprint matching, Turkish journal of electrical engineering and computer sciences, vol. 28, no. 5, pp. 2538-2551, doi: 10.3906/elk-1907-113. Attached Files Name Description MIMEType Size Downloads Title Reducing computational complexity in fingerprint matching Author(s) Sabir, Mubeen Khan, Tariq M orcid.org/0000-0002-7477-1591 Arshad, Munazza Munawar, Sana Journal name Turkish journal of electrical engineering and computer sciences Volume number 28 Issue number 5 Start page 2538 End page 2551 Total pages 14 Publisher Scientific and Technical Research Council of Turkey Place of publication Ankara, Turkey Publication date 2020 ISSN 1300-0632 1303-6203 Keyword(s) biometrics cross-correlation minutiae points filtering matching Summary The performance of cross-correlation functions can decrease computational complexity under optimal fingerprint feature selection. In this paper, a technique is proposed to perform alignment of fingerprints followed by their matching in fewer computations. Minutiae points are extracted and alignment is performed on the basis of their spatial locations and orientation fields. Unlike traditional cross-correlation based matching algorithms, ridges are not included in the matching process to avoid redundant computations. However, optimal cross-correlation is chosen by correlating feature vectors accompanying x-y locations of minutiae points and their aligned orientation fields. As a result, matching time is significantly reduced with much improved accuracy. Language eng DOI 10.3906/elk-1907-113 Indigenous content off Field of Research 0906 Electrical and Electronic Engineering HERDC Research category C1.1 Refereed article in a scholarly journal Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30144486 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection Related Links Link Description Link to full-text (open-access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Mon, 26 Oct 2020, 07:39:40 EST Mon, 26 Oct 2020, 17:12:03 EST Tue, 27 Oct 2020, 04:02:27 EST Tue, 27 Oct 2020, 05:04:54 EST Tue, 27 Oct 2020, 10:00:01 EST Tue, 27 Oct 2020, 10:01:56 EST Wed, 28 Oct 2020, 06:14:41 EST Sat, 02 Jan 2021, 01:30:08 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 41 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Mon, 26 Oct 2020, 17:12:03 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.