Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/20327
DC FieldValueLanguage
dc.contributorDepartment of Computing-
dc.creatorGuo, Z-
dc.creatorZhang, D-
dc.creatorZhang, L-
dc.creatorZuo, W-
dc.creatorLu, G-
dc.date.accessioned2014-12-31T08:01:19Z-
dc.date.available2014-12-31T08:01:19Z-
dc.identifier.issn0167-8655-
dc.identifier.urihttp://hdl.handle.net/10397/20327-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectBiometricsen_US
dc.subjectIlluminationen_US
dc.subjectOrientation codeen_US
dc.subjectPalmprint recognitionen_US
dc.titleEmpirical study of light source selection for palmprint recognitionen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage120-
dc.identifier.epage126-
dc.identifier.volume32-
dc.identifier.issue2-
dc.identifier.doi10.1016/j.patrec.2010.09.026-
dcterms.abstractMost of the current palmprint recognition systems use an active light to acquire images, and the light source is a key component in the system. Although white light is the most widely used light source, little work has been done on investigating whether it is the best illumination for palmprint recognition. This study analyzes the palmprint recognition performance under seven different illuminations, including the white light. The experimental results on a large database show that white light is not the optimal illumination, while yellow or magenta light could achieve higher palmprint recognition accuracy than the white light.-
dcterms.bibliographicCitationPattern recognition letters, 2011, v. 32, no. 2, p. 120-126-
dcterms.isPartOfPattern recognition letters-
dcterms.issued2011-
dc.identifier.isiWOS:000285703800004-
dc.identifier.scopus2-s2.0-78049514372-
dc.identifier.eissn1872-7344-
dc.identifier.rosgroupidr51342-
dc.description.ros2010-2011 > Academic research: refereed > Publication in refereed journal-
Appears in Collections:Journal/Magazine Article
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