Please use this identifier to cite or link to this item: https://rfos.fon.bg.ac.rs/handle/123456789/843
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dc.creatorŠošević, Uroš
dc.creatorMilenković, Ivan
dc.creatorKezele, Bojan
dc.creatorMilovanović, Miloš
dc.creatorMinović, Miroslav
dc.date.accessioned2023-05-12T10:25:45Z-
dc.date.available2023-05-12T10:25:45Z-
dc.date.issued2012
dc.identifier.urihttps://rfos.fon.bg.ac.rs/handle/123456789/843-
dc.description.abstractLately, there is an increasing interest in multimodal biometric systems. Development of such systems requires high level of understanding of every segment of multimodal biometric process and its terminology. Standard process of learning these concepts can be rather uninteresting and time consuming. In order to attack this issue, this paper presents elBio, platform designed to facilitate learning of multimodal biometrics through tutorial-like system interaction. elBio guides potential biometric trainees through an array of steps, that are common for almost every multimodal biometric system development process. Trainee can assemble an example system by proceeding through defined phases. At the same time, the process of learning and acquiring practical knowledge happens at a much faster rate in comparison to using traditional book-style learning approach.en
dc.publisherIEEE, New York
dc.rightsrestrictedAccess
dc.source2012 International Symposium on Computers in Education (SIIE)
dc.subjectmultimodal biometricsen
dc.subjecte-learningen
dc.subjectbiometricsen
dc.titleelBio - framework for learning multimodal biometricsen
dc.typeconferenceObject
dc.rights.licenseARR
dc.identifier.rcubconv_1624
dc.identifier.scopus2-s2.0-84873190995
dc.identifier.wos000332458200040
dc.type.versionpublishedVersion
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeconferenceObject-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:Radovi istraživača / Researchers’ publications
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