Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/27581
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dc.coverage.spatialHybrid model for human Identification and recognition system Using hand geometry and palmprinten_US
dc.date.accessioned2014-11-05T11:58:42Z-
dc.date.available2014-11-05T11:58:42Z-
dc.date.issued2014-11-05-
dc.identifier.urihttp://hdl.handle.net/10603/27581-
dc.description.abstractThe adoption of automatic authentication system is gaining newlinemomentum and more focus Reliability in the personal authentication is the newlinekey to the security in the networked society Many physiological newlinecharacteristics of human biometrics are typically time invariant easy to newlineacquire and unique for every individual Biometric features such as face iris newlinefingerprint hand geometry palmprint signature etc have been suggested for newlinethe security in access control Most of the current researches in biometrics newlinehave been focused on fingerprint and face The reliability of personal newlineidentification using face is currently low as the researchers today continue to newlinegrapple with the problems of pose lighting orientation and gesture newlineFingerprint identification is widely used in personal identification as it has newlineworked well in most cases in the past However, it is difficult to acquire newlinefingerprint features minutiae for certain class of persons such as manual newlinelabourers elderly people etc As a result other biometric characteristics are newlinereceiving increasing attention Moreover additional biometric features such newlineas palmprints can be easily integrated with the existing authentication system newlineto provide enhanced level of confidence in personal authentication newline newlineen_US
dc.format.extentxviii, 163p.en_US
dc.languageEnglishen_US
dc.relationp150-159.en_US
dc.rightsuniversityen_US
dc.titleHybrid model for human Identification and recognition system Using hand geometry and palmprinten_US
dc.title.alternativeen_US
dc.creator.researcherSelvarajan Sen_US
dc.subject.keywordHuman Identificationen_US
dc.subject.keywordReliabilityen_US
dc.description.notereference p150-159.en_US
dc.contributor.guidePalanisamy Ven_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.publisher.institutionFaculty of Information and Communication Engineeringen_US
dc.date.registeredn.d,en_US
dc.date.completed01/12/2008en_US
dc.date.awarded30/12/2008en_US
dc.format.dimensions23cm.en_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Faculty of Information and Communication Engineering

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02_certificate.pdf5.64 kBAdobe PDFView/Open
03_abstract.pdf14.49 kBAdobe PDFView/Open
04_acknowledgement.pdf6.97 kBAdobe PDFView/Open
05_content.pdf61.53 kBAdobe PDFView/Open
06_chapter1.pdf26.38 kBAdobe PDFView/Open
07_chapter2.pdf239.4 kBAdobe PDFView/Open
08_chapter3.pdf136.92 kBAdobe PDFView/Open
09_chapter4.pdf187.09 kBAdobe PDFView/Open
10_chapter5.pdf244.72 kBAdobe PDFView/Open
11_chapter6.pdf403.79 kBAdobe PDFView/Open
12_chapter7.pdf13.82 kBAdobe PDFView/Open
13_reference.pdf41.96 kBAdobe PDFView/Open
14_publication.pdf14.04 kBAdobe PDFView/Open
15_vitae.pdf5.93 kBAdobe PDFView/Open


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