Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/420299
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dc.date.accessioned2022-11-24T09:28:43Z-
dc.date.available2022-11-24T09:28:43Z-
dc.identifier.urihttp://hdl.handle.net/10603/420299-
dc.description.abstractIdentification of a human subject based on bodily unique features is termed as biometrics. Use of biometric features for authentication of a person has been in existence for a long time and has wide acceptance for day-to-day authentication purposes. The essential requirement is one to one correspondence between the features and the human being so that unique identification of a human subject can be done. It is also necessary to have sufficient different among the biometric templates to scale the biometric recognition to a larger population. Security is also essential while handling and storage of the biometric templates. Many of the current biometric modalities fail to provide that thus new biometric modalities with inbuilt feature of security are being explored. newlineTraditionally, the physiological traits such as faces, fingerprints and irises are most frequently utilized in commercial biometric systems whereas the human behavioral traits like signature, posture, and keyboard dynamics etc. are gaining interest but they lack uniqueness and permanency. In structural biometrics, utilization of visible bodily features poses problems such as theft, forgery, copying and sometimes non-repudiation. Hidden biometrics which utilize the hidden body organs for biometric authentication is relatively new and unexplored class of biometrics but is able to address majority challenges of the visible biometrics. newline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDevelopment of secure hidden biometric template through brain structural analysis
dc.title.alternative
dc.creator.researcherBhatnagar, Shaleen
dc.subject.keyword3D brain
dc.subject.keywordAuthentication
dc.subject.keywordBiometric
dc.subject.keywordBrain
dc.subject.keywordBrain structural biometrics
dc.subject.keywordComputer Science
dc.subject.keywordDescriptors
dc.subject.keywordEngineering and Technology
dc.subject.keywordHidden biometrics
dc.subject.keywordPortable MRI
dc.description.note
dc.contributor.guideSaxena, Aditya K
dc.publisher.placeIttagalpura
dc.publisher.universityPresidency University, Karnataka
dc.publisher.institutionSchool of Engineering
dc.date.registered2018
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:School of Engineering

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01_title.pdfAttached File15.68 kBAdobe PDFView/Open
02_prelim pages.pdf380.91 kBAdobe PDFView/Open
03_content.pdf105.47 kBAdobe PDFView/Open
04_abstract.pdf73.92 kBAdobe PDFView/Open
05_chapter 1.pdf1.22 MBAdobe PDFView/Open
06_chapter 2.pdf729.12 kBAdobe PDFView/Open
07_chapter 3.pdf650.23 kBAdobe PDFView/Open
08_chapter 4.pdf1.96 MBAdobe PDFView/Open
09_chapter 5.pdf26.41 kBAdobe PDFView/Open
10_annexures.pdf132.44 kBAdobe PDFView/Open
80_recommendation.pdf36.85 kBAdobe PDFView/Open


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