Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/474535
Title: | performance analysis of biometric identification using artificial intelligence |
Researcher: | Navneet Kaur Sandhu |
Guide(s): | RK Bathla |
Keywords: | Engineering Engineering and Technology Engineering Mechanical |
University: | Desh Bhagat University |
Completed Date: | 2022 |
Abstract: | newlineA biometric system automatically recognizes an individual based on a unique feature or characteristic the person possesses. Iris identification is known to be the most reliable and accurate biometric identifier available. Most commercial iris recognition systems use proprietary Daugman-developed algorithms, and these algorithms can achieve perfect recognition rates. Usually reported findings were obtained under favorable conditions, however, and no independent development trials were performed. |
Pagination: | 1 GB |
URI: | http://hdl.handle.net/10603/474535 |
Appears in Departments: | Department of Engineering and Technology |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 32.07 kB | Adobe PDF | View/Open |
02_ prelim page.pdf | 210.08 kB | Adobe PDF | View/Open | |
03_content.pdf | 304.21 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 7.72 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 1.46 MB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 188.08 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 811.5 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.28 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 5.89 kB | Adobe PDF | View/Open | |
10_references.pdf | 154.75 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 5.89 kB | Adobe PDF | View/Open |
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