A fingerprint recognition system for cyber security
Modern society demands a higher level of accuracy, security and practicality in identification. Traditional identification methods no longer meet these needs, and the rich physiological and behavioural characteristics of the human body offer a reliable solution for this. This has attracted a great d...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/154994 |
| _version_ | 1811680723031031808 |
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| author | Chen, Yixuan |
| author2 | Mohammed Yakoob Siyal |
| author_facet | Mohammed Yakoob Siyal Chen, Yixuan |
| author_sort | Chen, Yixuan |
| collection | NTU |
| description | Modern society demands a higher level of accuracy, security and practicality in identification. Traditional identification methods no longer meet these needs, and the rich physiological and behavioural characteristics of the human body offer a reliable solution for this. This has attracted a great deal of attention from the international academic and commercial community.
Fingerprint recognition is one of the earliest technologies to use biometric features for identification and is also a very mature identification technology. This project will investigate and construct a fingerprint identification system depending on feature extraction and feature matching, which is the most dominant fingerprint recognition algorithm and technique today. The method mainly involves pre-processing the sample, extracting feature points from the sample fingerprint image, and then matching the fingerprints based on the number of feature pairs of two related fingerprints.
The specific implementation of this project includes steps such as graph strength enhancement, binarization, orientation calculation, refinement, Gabor filtering, feature extraction and feature matching. The project was coded using MATLAB, and a final match percentage value was generated to determine if it was the same finger. |
| first_indexed | 2024-10-01T03:29:35Z |
| format | Thesis-Master by Coursework |
| id | ntu-10356/154994 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:29:35Z |
| publishDate | 2022 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1549942023-07-04T16:41:01Z A fingerprint recognition system for cyber security Chen, Yixuan Mohammed Yakoob Siyal School of Electrical and Electronic Engineering EYAKOOB@ntu.edu.sg Engineering::Electrical and electronic engineering Engineering::Computer science and engineering::Computer applications Modern society demands a higher level of accuracy, security and practicality in identification. Traditional identification methods no longer meet these needs, and the rich physiological and behavioural characteristics of the human body offer a reliable solution for this. This has attracted a great deal of attention from the international academic and commercial community. Fingerprint recognition is one of the earliest technologies to use biometric features for identification and is also a very mature identification technology. This project will investigate and construct a fingerprint identification system depending on feature extraction and feature matching, which is the most dominant fingerprint recognition algorithm and technique today. The method mainly involves pre-processing the sample, extracting feature points from the sample fingerprint image, and then matching the fingerprints based on the number of feature pairs of two related fingerprints. The specific implementation of this project includes steps such as graph strength enhancement, binarization, orientation calculation, refinement, Gabor filtering, feature extraction and feature matching. The project was coded using MATLAB, and a final match percentage value was generated to determine if it was the same finger. Master of Science (Signal Processing) 2022-01-28T02:38:27Z 2022-01-28T02:38:27Z 2021 Thesis-Master by Coursework Chen, Y. (2021). A fingerprint recognition system for cyber security. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/154994 https://hdl.handle.net/10356/154994 en application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering Engineering::Computer science and engineering::Computer applications Chen, Yixuan A fingerprint recognition system for cyber security |
| title | A fingerprint recognition system for cyber security |
| title_full | A fingerprint recognition system for cyber security |
| title_fullStr | A fingerprint recognition system for cyber security |
| title_full_unstemmed | A fingerprint recognition system for cyber security |
| title_short | A fingerprint recognition system for cyber security |
| title_sort | fingerprint recognition system for cyber security |
| topic | Engineering::Electrical and electronic engineering Engineering::Computer science and engineering::Computer applications |
| url | https://hdl.handle.net/10356/154994 |
| work_keys_str_mv | AT chenyixuan afingerprintrecognitionsystemforcybersecurity AT chenyixuan fingerprintrecognitionsystemforcybersecurity |