Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/394924
Full metadata record
DC FieldValueLanguage
dc.contributor.authorRichard Yew Fatt Ng-
dc.contributor.authorYong Haur Tay-
dc.contributor.authorKai Ming Mok-
dc.date.accessioned2023-06-15T07:52:16Z-
dc.date.available2023-06-15T07:52:16Z-
dc.identifier.otherukmvital:122391-
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/394924-
dc.description.abstractIris recognition has become a popular research in recent years. Due to its reliability and nearly perfect recognition rates, iris recognition is used in high security areas. Among its applications are border control in airports and harbors, access control in laboratories and factories, identification for Automatic Teller Machines (ATMs) and restricted access to police evidence rooms. This paper provides a review of major iris recognition researches. There are three main stages in iris recognition system: image preprocessing, feature extraction and template matching. A literature review of the most prominent algorithms implemented in each stage is presented.-
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE),Piscataway, US-
dc.subjectIris recognition algorithms-
dc.titleA review of iris recognition algorithms-
dc.typeSeminar Papers-
dc.format.pages7-
dc.identifier.callnoT58.5.C634 2008 kat sem j.2-
dc.contributor.conferencenameInternational Symposium on Information Technology-
dc.coverage.conferencelocationKuala Lumpur Convention Centre-
dc.date.conferencedate26/08/2008-
Appears in Collections:Seminar Papers/ Proceedings / Kertas Kerja Seminar/ Prosiding

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.