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http://hdl.handle.net/10603/420299
Title: | Development of secure hidden biometric template through brain structural analysis |
Researcher: | Bhatnagar, Shaleen |
Guide(s): | Saxena, Aditya K |
Keywords: | 3D brain Authentication Biometric Brain Brain structural biometrics Computer Science Descriptors Engineering and Technology Hidden biometrics Portable MRI |
University: | Presidency University, Karnataka |
Completed Date: | 2022 |
Abstract: | Identification 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 |
Pagination: | |
URI: | http://hdl.handle.net/10603/420299 |
Appears in Departments: | School of Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 15.68 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 380.91 kB | Adobe PDF | View/Open | |
03_content.pdf | 105.47 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 73.92 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 1.22 MB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 729.12 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 650.23 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.96 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 26.41 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 132.44 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 36.85 kB | Adobe PDF | View/Open |
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