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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
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ROMANIA

Print ISSN: 1582-7445
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WorldCat: 644266260
doi: 10.4316/AECE


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  2/2014 - 1
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Examination of Speed Contribution of Parallelization for Several Fingerprint Pre-Processing Algorithms

GORGUNOGLU, S. See more information about GORGUNOGLU, S. on SCOPUS See more information about GORGUNOGLU, S. on IEEExplore See more information about GORGUNOGLU, S. on Web of Science, ORAK, I. M. See more information about  ORAK, I. M. on SCOPUS See more information about  ORAK, I. M. on SCOPUS See more information about ORAK, I. M. on Web of Science, CAVUSOGLU, A. See more information about  CAVUSOGLU, A. on SCOPUS See more information about  CAVUSOGLU, A. on SCOPUS See more information about CAVUSOGLU, A. on Web of Science, GOK, M. See more information about GOK, M. on SCOPUS See more information about GOK, M. on SCOPUS See more information about GOK, M. on Web of Science
 
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Download PDF pdficon (977 KB) | Citation | Downloads: 733 | Views: 1,637

Author keywords
CUDA, fingerprint recognition, parallel processing, parallel programming, OpenMP

References keywords
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

Abstract
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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.


References | Cited By  «-- Click to see who has cited this paper

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[CrossRef] [Web of Science Times Cited 1]


[2] S. Gorgunoglu, A. Cavusoglu, "A Fast and Simple Algorithm for Fingerprint Segmentation", Engineering Science and Technology an International Journal (JESTECH) (formerly TEKNOLOJI), vol. 11, no. 2, pp. 87-92, 2008.

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[CrossRef] [SCOPUS Times Cited 120]


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[CrossRef] [Web of Science Times Cited 838] [SCOPUS Times Cited 1211]


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[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 12]


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[CrossRef] [Web of Science Times Cited 12] [SCOPUS Times Cited 13]


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[CrossRef]


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[CrossRef] [Web of Science Record]


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[CrossRef]


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[CrossRef]


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[CrossRef] [SCOPUS Times Cited 8]


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[CrossRef] [SCOPUS Times Cited 1]


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References Weight

Web of Science® Citations for all references: 880 TCR
SCOPUS® Citations for all references: 1,437 TCR

Web of Science® Average Citations per reference: 38 ACR
SCOPUS® Average Citations per reference: 62 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2016-12-09 05:53 in 98 seconds.




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Faculty of Electrical Engineering and Computer Science
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