Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/9044
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DC FieldValueLanguage
dc.coverage.spatialComputer Sciencesen_US
dc.date.accessioned2013-05-22T08:24:06Z-
dc.date.available2013-05-22T08:24:06Z-
dc.date.issued2013-05-22-
dc.identifier.urihttp://hdl.handle.net/10603/9044-
dc.description.abstractBiometrics is the science of recognizing the identity of a person based on the physical or behavioral attributes of the individual such as fingerprints, palmprint, face, voice, iris and gait. With the increasing need for robust human recognition techniques in sensitive applications such as secure access control, international border crossing and law enforcement, biometrics has emerged itself as a feasible technology that can be integrated into large-scale identity management systems. Biometric systems operate under the premise that many of the physical or behavioral characteristics of humans are distinctive to an individual, and that they can be reliably acquired via appropriately designed sensors and represented in a numerical format that lends itself to automatic decision making in the context of identity management. Thus, these systems may be viewed as pattern recognition engines that can be incorporated in diverse markets. Every part of human body is unique and if we can consistently capture the specified area or trait, efficient biometric authentication system can be built. With the advancement in technology sensors for variety of biometrics are available. We have fingerprint, handwritten signatures, palmprint, face, voice as conventional biometric traits, because of advance sensors we can have 3D face and hand geometry, finger-knuckle print, ear geometry, facial thermogram, gait, odor, DNA, retinal scan as emerging traits.en_US
dc.format.extent296p.en_US
dc.languageEnglishen_US
dc.relationNo. of references 275en_US
dc.rightsuniversityen_US
dc.titleBiometric Authentication Systemsen_US
dc.creator.researcherBharadi, Vinayaken_US
dc.subject.keywordBiometric Authentication Systemsen_US
dc.description.noteReferences p. 273-296en_US
dc.contributor.guideKekre, H Ben_US
dc.publisher.placeMumbaien_US
dc.publisher.universityNarsee Monjee Institute of Management Studiesen_US
dc.publisher.institutionDepartment of Computer Engineeringen_US
dc.date.registered19/08/2008en_US
dc.date.completed14/12/2011en_US
dc.date.awarded14/12/2011en_US
dc.format.dimensions--en_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Department of Computer Engineering

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02_abstract.pdf85.72 kBAdobe PDFView/Open
03_contents and tables.pdf506.89 kBAdobe PDFView/Open
04_chapter 1.pdf703.8 kBAdobe PDFView/Open
05_chapter 2.pdf337.33 kBAdobe PDFView/Open
06_chapter 3.pdf2.31 MBAdobe PDFView/Open
07_chapter 3 a.pdf3.03 MBAdobe PDFView/Open
08_chapter 3 b.pdf1.12 MBAdobe PDFView/Open
09_chapter 4.pdf1.47 MBAdobe PDFView/Open
10_chapter 5.pdf770.65 kBAdobe PDFView/Open
11_chapter 6.pdf358.96 kBAdobe PDFView/Open
12_chapter 7.pdf469.62 kBAdobe PDFView/Open
13_references.pdf303.04 kBAdobe PDFView/Open


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