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https://dx.doi.org/10.5121/ijb...
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Claim

Designing A Novel Approach for Fingerprint Biometric Detection: Based on Minutiae Extraction

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 31 Dec 2012Publisher:Academy and Industry Research Collaboration Center (AIRCC)Journal:International Journal on Bioinformatics & Biosciences, volume 2, pages 11-27 (eissn: 1839-9614, Copyright policy )
Authors: Hossein Jadidoleslamy;

doi: 10.5121/ijbb.2012.2402 , 10.5281/zenodo.3999257 , 10.5281/zenodo.4084853 , 10.5281/zenodo.3999258 , 10.5281/zenodo.4346501 , 10.5281/zenodo.4346502 , 10.5281/zenodo.4084852

Designing A Novel Approach for Fingerprint Biometric Detection: Based on Minutiae Extraction

Abstract

People authentication based on fingerprint is one of the most important people authentication techniques which it used biology specifications. The main purpose of this paper is discussing on minutiae-based extraction methods for fingerprints comparison and presenting a new pattern matching algorithm in this area; of course, this algorithm also has been presented based on comparing fingerprint features (especially minutiae points)

Related Organizations
Keywords

Biometric, Fingerprint, Minutiae, Automated Fingerprint Identification System (AFIS), Extraction, Matching

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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