Openly accessible

Orientation Field Estimation for Noisy Fingerprint Image Enhancement

Alhalabi, W, Khan, MAU and Khan, Tariq 2019, Orientation Field Estimation for Noisy Fingerprint Image Enhancement, in Artificial Intelligence and Machine Learning : Embedding the Intelligence. Proceedings of the 16th International Conference on Learning and Technology, 2019, Elsevier, Amsterdam, The Netherlands, pp. 352-369, doi: 10.1016/j.procs.2019.12.118.

Attached Files
Name Description MIMEType Size Downloads

Title Orientation Field Estimation for Noisy Fingerprint Image Enhancement
Author(s) Alhalabi, W
Khan, MAU
Khan, TariqORCID iD for Khan, Tariq orcid.org/0000-0002-7477-1591
Conference name Learning and Technology. Conference (2019 : 16th : Jeddah, Saudi Arabia)
Conference location Jeddah, Saudi Arabia
Conference dates 30-31 Jan. 2019
Title of proceedings Artificial Intelligence and Machine Learning : Embedding the Intelligence. Proceedings of the 16th International Conference on Learning and Technology, 2019
Publication date 2019
Series Procedia Computer Science
Start page 352
End page 369
Total pages 18
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
ISSN 1877-0509
1877-0509
Language eng
DOI 10.1016/j.procs.2019.12.118
Indigenous content off
Field of Research 08 Information and Computing Sciences
10 Technology
HERDC Research category E1.1 Full written paper - refereed
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30146636

Connect to link resolver
 
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
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 17 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Tue, 12 Jan 2021, 10:01:51 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.