|2/2014 - 1|
Examination of Speed Contribution of Parallelization for Several Fingerprint Pre-Processing AlgorithmsGORGUNOGLU, S. , ORAK, I. M. , CAVUSOGLU, A. , GOK, M.
|Click to see author's profile on SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (977 KB) | Citation | Downloads: 781 | Views: 2,105|
CUDA, fingerprint recognition, parallel processing, parallel programming, OpenMP
image(11), fingerprint(10), processing(6), algorithm(6), pattern(4), minutiae(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2014-05-31
Volume 14, Issue 2, Year 2014, On page(s): 3 - 8
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.02001
Web of Science Accession Number: 000340868100001
SCOPUS ID: 84901844580
In analysis of minutiae based fingerprint systems, fingerprints needs to be pre-processed. The pre-processing is carried out to enhance the quality of the fingerprint and to obtain more accurate minutiae points. Reducing the pre-processing time is important for identification and verification in real time systems and especially for databases holding large fingerprints information. Parallel processing and parallel CPU computing can be considered as distribution of processes over multi core processor. This is done by using parallel programming techniques. Reducing the execution time is the main objective in parallel processing. In this study, pre-processing of minutiae based fingerprint system is implemented by parallel processing on multi core computers using OpenMP and on graphics processor using CUDA to improve execution time. The execution times and speedup ratios are compared with the one that of single core processor. The results show that by using parallel processing, execution time is substantially improved. The improvement ratios obtained for different pre-processing algorithms allowed us to make suggestions on the more suitable approaches for parallelization.
Web of Science® Times Cited: 1 [View]
View record in Web of Science® [View]
View Related Records® [View]
SCOPUS® Times Cited: 1
View record in SCOPUS® [Free preview]
 Optimizing the Forward Algorithm for Hidden Markov Model on IBM Roadrunner clusters, SOIMAN, S.-I., RUSU, I., PENTIUC, S.-G., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 15, 2015.
Digital Object Identifier: 10.4316/AECE.2015.02013 [CrossRef] [Full text]
Disclaimer: All information displayed above was retrieved by using remote connections to respective databases. For the best user experience, we update all data by using background processes, and use caches in order to reduce the load on the servers we retrieve the information from. As we have no control on the availability of the database servers and sometimes the Internet connectivity may be affected, we do not guarantee the information is correct or complete. For the most accurate data, please always consult the database sites directly. Some external links require authentication or an institutional subscription.
Web of Science® is a registered trademark of Thomson Reuters, Scopus® is a registered trademark of Elsevier B.V., other product names, company names, brand names, trademarks and logos are the property of their respective owners.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.