Filter-based fingerprint feature extraction
In the modem world, biometric has become more important in secure way. Modem applications like online banking or online shopping use techniques that depend on personal identification numbers, keys or passwords. Nevertheless, these technologies imply risk of data being forgotten, lost or even stolen....
| Main Author: | |
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| Format: | Undergraduates Project Papers |
| Language: | English |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/31488/1/Filter-based%20fingerprint%20feature.PDF |
| _version_ | 1825813870345715712 |
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| author | Amnani, Ali |
| author_facet | Amnani, Ali |
| author_sort | Amnani, Ali |
| collection | UMP |
| description | In the modem world, biometric has become more important in secure way. Modem applications like online banking or online shopping use techniques that depend on personal identification numbers, keys or passwords. Nevertheless, these technologies imply risk of data being forgotten, lost or even stolen. A secure and confidential biometric authentication method is the utilization of fingerprints. Fingerprint were one of the first biometric to be widely use. The lines that flow in various patterns across fingerprint are called ridges and the spaces between ridges are valleys. As the person ages, the fingers do get larger. However ridges stay the same. Usually a technique called minutiae features extraction is used in extracting the fingerprint features to be able to handle automatic fingerprint recognition with computer system. This project proposes a different fingerprint features extraction technique, which uses the features extraction of Gabor filter-based method. There are two important parts in this project which are image pre-processing and feature extraction. The Gabor filter will be used in the image pre-processing process. A system that able to extract the fingerprint features will be built in this project using MATLAB software. |
| first_indexed | 2024-03-06T12:50:26Z |
| format | Undergraduates Project Papers |
| id | UMPir31488 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:50:26Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | UMPir314882021-05-31T08:26:59Z http://umpir.ump.edu.my/id/eprint/31488/ Filter-based fingerprint feature extraction Amnani, Ali Q Science (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering In the modem world, biometric has become more important in secure way. Modem applications like online banking or online shopping use techniques that depend on personal identification numbers, keys or passwords. Nevertheless, these technologies imply risk of data being forgotten, lost or even stolen. A secure and confidential biometric authentication method is the utilization of fingerprints. Fingerprint were one of the first biometric to be widely use. The lines that flow in various patterns across fingerprint are called ridges and the spaces between ridges are valleys. As the person ages, the fingers do get larger. However ridges stay the same. Usually a technique called minutiae features extraction is used in extracting the fingerprint features to be able to handle automatic fingerprint recognition with computer system. This project proposes a different fingerprint features extraction technique, which uses the features extraction of Gabor filter-based method. There are two important parts in this project which are image pre-processing and feature extraction. The Gabor filter will be used in the image pre-processing process. A system that able to extract the fingerprint features will be built in this project using MATLAB software. 2009-11 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/31488/1/Filter-based%20fingerprint%20feature.PDF Amnani, Ali (2009) Filter-based fingerprint feature extraction. Faculty of Electrical and Electronic Engineering, Universiti Malaysia Pahang. |
| spellingShingle | Q Science (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Amnani, Ali Filter-based fingerprint feature extraction |
| title | Filter-based fingerprint feature extraction |
| title_full | Filter-based fingerprint feature extraction |
| title_fullStr | Filter-based fingerprint feature extraction |
| title_full_unstemmed | Filter-based fingerprint feature extraction |
| title_short | Filter-based fingerprint feature extraction |
| title_sort | filter based fingerprint feature extraction |
| topic | Q Science (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/31488/1/Filter-based%20fingerprint%20feature.PDF |
| work_keys_str_mv | AT amnaniali filterbasedfingerprintfeatureextraction |