Azril Nizam, Muhamad (2008) Minutiae point exraction for skeleton-based fingerprint image. Faculty of Electrical & Electronic Engineering, Universiti Malaysia Pahang.
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PDF (Table of content)
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PDF (Abstract)
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PDF (Chapter 1)
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PDF (References)
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Abstract
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.
| Item Type: | Undergraduates Project Papers |
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| Additional Information: | Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2008, SV: Nor Farizan Binti Zakaria |
| Uncontrolled Keywords: | Biometric identification; Image processing |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Ms Kamariah Gono |
| Date Deposited: | 06 Apr 2010 10:53 |
| Last Modified: | 09 Jun 2021 04:49 |
| URI: | http://umpir.ump.edu.my/id/eprint/399 |
| Download Statistic: | View Download Statistics |
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