Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/209
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dc.contributor.authorZhang, DDen_US
dc.contributor.authorKong, WKAen_US
dc.contributor.authorYou, Jen_US
dc.contributor.authorWong, Men_US
dc.date.accessioned2014-12-11T08:27:55Z-
dc.date.available2014-12-11T08:27:55Z-
dc.date.issued2003-09-
dc.identifier.citationIEEE transactions on pattern analysis and machine intelligence, Sept. 2003, v. 25, no. 9, p.1041-1050en_US
dc.identifier.issn0162-8828-
dc.identifier.urihttp://hdl.handle.net/10397/209-
dc.description.abstractBiometrics-based personal identification is regarded as an effective method for automatically recognizing, with a high confidence, a person's identity. This paper presents a new biometric approach to online personal identification using palmprint technology. In contrast to the existing methods, our online palmprint identification system employs low-resolution palmprint images to achieve effective personal identification. The system consists of two parts: a novel device for online palmprint image acquisition and an efficient algorithm for fast palmprint recognition. A robust image coordinate system is defined to facilitate image alignment for feature extraction. In addition, a 2D Gabor phase encoding scheme is proposed for palmprint feature extraction and representation. The experimental results demonstrate the feasibility of the proposed system.en_US
dc.description.sponsorshipDepartment of Computingen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.ispartofIEEE transactions on pattern analysis and machine intelligenceen_US
dc.rights© 2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_US
dc.rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.en_US
dc.subjectBiometricsen_US
dc.subjectOnline palmprint identificationen_US
dc.subjectTexture analysisen_US
dc.subjectLow-resolution imageen_US
dc.titleOnline palmprint identificationen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationAuthor name used in this publication: Wai-Kin Kongen_US
dc.identifier.spage1041-
dc.identifier.epage1050-
dc.identifier.volume25-
dc.identifier.issue9-
dc.identifier.doi10.1109/TPAMI.2003.1227981-
dc.identifier.isiWOS:000184977300001-
dc.identifier.scopus2-s2.0-0141725475-
dc.identifier.rosr13319-
dc.identifier.eissn1939-3539-
item.fulltextFull Text (Open Access)-
crisitem.author.deptDepartment of Computing-
crisitem.author.deptDepartment of Computing-
crisitem.author.facultyFaculty of Engineering-
crisitem.author.facultyFaculty of Engineering-
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