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Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/564
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dc.contributor.authorDagher, Issamen_US
dc.contributor.authorHelwe, Wen_US
dc.contributor.authorYassine, F.en_US
dc.date.accessioned2020-12-23T08:32:34Z-
dc.date.available2020-12-23T08:32:34Z-
dc.date.issued2003-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/564-
dc.description.abstractIn this paper, a neural network architecture, Fuzzy Artmap (FAM), was used to classify fingerprints. A fingerprint database of the University of Balamand (UOB) was created. The algorithm uses the filterbank representation which captures the local and global details in a fingerprint as a 320-byte fixed length FingerCode which is suitable for storage. In the first stage, the fingerprint is classified using FAM to one of the five categories (whorl, left loop, right loop, arch, and tented arch). Then, the algorithm matches the fingerprint by searching in the specific category in the database. Matching is done using the two corresponding FingerCodes and thus, is very fast.en_US
dc.format.extent4 p.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.subjectNeural net architectureen_US
dc.subjectFeature extractionen_US
dc.subjectImage matchingen_US
dc.subjectImage classificationen_US
dc.subjectFuzzy neural netsen_US
dc.subject.lcshFingerprints--Identificationen_US
dc.titleFingerprint recognition using fuzzy artmap neural network architectureen_US
dc.typeConference Paperen_US
dc.relation.conferenceInternational Conference on Microelectronics (ICM) (14th : 13 Dec 2002 : Beirut, Lebanon)en_US
dc.contributor.affiliationDepartment of Computer Engineeringen_US
dc.description.startpage157en_US
dc.description.endpage160en_US
dc.date.catalogued2018-02-20-
dc.description.statusPublisheden_US
dc.identifier.ezproxyURLhttp://ezsecureaccess.balamand.edu.lb/login?url=http://ieeexplore.ieee.org/abstract/document/1161519/en_US
dc.identifier.OlibID177911-
dc.relation.ispartoftextThe 14th International Conference on Microelectronicsen_US
dc.provenance.recordsourceOliben_US
crisitem.author.parentorgFaculty of Engineering-
Appears in Collections:Department of Computer Engineering
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