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Minutiae point exraction for skeleton-based fingerprint image/ Azril Nizam Muhamad

By:

Azril Nizam Muhamad

Material type: Text

TextPublication details: Kuantan, Pahang : UMP, 2008Description: 81 p. : ill. (some col.) ; 30 cm. + 1 computer discISBN:

THE0007051(Local)

Other title:

Minutiae point exraction for skeleton-based fingerprint image [electronic resource]

Subject(s):

Dissertation note: Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2008 Summary: 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.

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Holdings ( 2 )
Title notes ( 2 )

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Final Year Report	UMPLIB PEKAN	TK7882.B56 A97 2008 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000037424
Final Year Report	UMPLIB PEKAN	CD 3276 \| TK7882.B56 A97 2008 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000037425

Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2008

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.