Minutiae point exraction for skeleton-based fingerprint image
A reliable personal identification is necessary due to the growing importance of information technology and the necessity of protection and access restriction. The key task is to identify the owner of the security system. A biometric security system verifies user identity by comparing the behavioral...
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| Format: | Undergraduates Project Papers |
| Language: | en en en en |
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2008
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| Online Access: | http://umpir.ump.edu.my/id/eprint/399/1/Minutiae%20point%20exraction%20for%20skeleton-based%20fingerprint%20image%20-%20Table%20of%20content.pdf http://umpir.ump.edu.my/id/eprint/399/2/Minutiae%20point%20exraction%20for%20skeleton-based%20fingerprint%20image%20-%20Abstract.pdf http://umpir.ump.edu.my/id/eprint/399/7/Minutiae%20point%20exraction%20for%20skeleton-based%20fingerprint%20image%20-%20Chapter%201.pdf http://umpir.ump.edu.my/id/eprint/399/19/Minutiae%20point%20exraction%20for%20skeleton-based%20fingerprint%20image%20-%20References.pdf http://umpir.ump.edu.my/id/eprint/399/ |
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| _version_ | 1831520736242565120 |
|---|---|
| author | Azril Nizam, Muhamad |
| author_facet | Azril Nizam, Muhamad |
| author_sort | Azril Nizam, Muhamad |
| building | UMPSA Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | A reliable personal identification is necessary due to the growing importance of information technology and the necessity of protection and access restriction. The key task is to identify the owner of the security system. A biometric security system verifies user identity by comparing the behavioral or physiological trait of the owner. Fingerprints are the oldest and most widely used form of biometric identification because of their high acceptability, immutability and individuality. Local characteristic called minutiae points represent fingerprints where the most prominent points are end point and bifurcation point. This project is a software design of minutiae point extraction for skeleton-based fingerprint image. There are four main components in the software design which are image pre-processing, minutiae extraction, post-processing and the graphical user interface (GUI). In the image pre-processing, image enhancement were executed which include loading an input image, binarize the image and thinning the image. In the minutiae extraction stage, end points and bifurcation points were located. The post-processing stage execute the removal of the false minutiae out of the fingerprint image and lastly, the graphical user interface (GUI) will access the image repository and display the output image at each processing stage hence, as the interface between the user and the software design. |
| format | Undergraduates Project Papers |
| id | my.ump.umpir.399 |
| institution | Universiti Malaysia Pahang |
| language | en en en en |
| publishDate | 2008 |
| record_format | eprints |
| spelling | my.ump.umpir.3992021-06-09T04:49:39Z http://umpir.ump.edu.my/id/eprint/399/ Minutiae point exraction for skeleton-based fingerprint image Azril Nizam, Muhamad TK Electrical engineering. Electronics Nuclear engineering A reliable personal identification is necessary due to the growing importance of information technology and the necessity of protection and access restriction. The key task is to identify the owner of the security system. A biometric security system verifies user identity by comparing the behavioral or physiological trait of the owner. Fingerprints are the oldest and most widely used form of biometric identification because of their high acceptability, immutability and individuality. Local characteristic called minutiae points represent fingerprints where the most prominent points are end point and bifurcation point. This project is a software design of minutiae point extraction for skeleton-based fingerprint image. There are four main components in the software design which are image pre-processing, minutiae extraction, post-processing and the graphical user interface (GUI). In the image pre-processing, image enhancement were executed which include loading an input image, binarize the image and thinning the image. In the minutiae extraction stage, end points and bifurcation points were located. The post-processing stage execute the removal of the false minutiae out of the fingerprint image and lastly, the graphical user interface (GUI) will access the image repository and display the output image at each processing stage hence, as the interface between the user and the software design. 2008-11 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/399/1/Minutiae%20point%20exraction%20for%20skeleton-based%20fingerprint%20image%20-%20Table%20of%20content.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/399/2/Minutiae%20point%20exraction%20for%20skeleton-based%20fingerprint%20image%20-%20Abstract.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/399/7/Minutiae%20point%20exraction%20for%20skeleton-based%20fingerprint%20image%20-%20Chapter%201.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/399/19/Minutiae%20point%20exraction%20for%20skeleton-based%20fingerprint%20image%20-%20References.pdf Azril Nizam, Muhamad (2008) Minutiae point exraction for skeleton-based fingerprint image. Faculty of Electrical & Electronic Engineering, Universiti Malaysia Pahang. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Azril Nizam, Muhamad Minutiae point exraction for skeleton-based fingerprint image |
| title | Minutiae point exraction for skeleton-based fingerprint image |
| title_full | Minutiae point exraction for skeleton-based fingerprint image |
| title_fullStr | Minutiae point exraction for skeleton-based fingerprint image |
| title_full_unstemmed | Minutiae point exraction for skeleton-based fingerprint image |
| title_short | Minutiae point exraction for skeleton-based fingerprint image |
| title_sort | minutiae point exraction for skeleton-based fingerprint image |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/399/1/Minutiae%20point%20exraction%20for%20skeleton-based%20fingerprint%20image%20-%20Table%20of%20content.pdf http://umpir.ump.edu.my/id/eprint/399/2/Minutiae%20point%20exraction%20for%20skeleton-based%20fingerprint%20image%20-%20Abstract.pdf http://umpir.ump.edu.my/id/eprint/399/7/Minutiae%20point%20exraction%20for%20skeleton-based%20fingerprint%20image%20-%20Chapter%201.pdf http://umpir.ump.edu.my/id/eprint/399/19/Minutiae%20point%20exraction%20for%20skeleton-based%20fingerprint%20image%20-%20References.pdf http://umpir.ump.edu.my/id/eprint/399/ |
| url_provider | http://umpir.ump.edu.my/ |