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001 vtls000037986
003 KUKTEM
005 20251114204452.0
008 090617t2008 my a f m 000 0 eng|d
020 _aTHE0007051(Local)
039 9 _a201906131014
_bhanafiah
_c201107132137
_dVLOAD
_c200908141631
_dVLOAD
_c200908141605
_dVLOAD
_y200906170926
_zida84
040 _aUMP
090 _aTK7882.B56 A97 2008 rs Bc.
100 0 _aAzril Nizam Muhamad
245 1 0 _aMinutiae point exraction for skeleton-based fingerprint image/
_cAzril Nizam Muhamad
246 3 _aMinutiae point exraction for skeleton-based fingerprint image
_h[electronic resource]
260 _aKuantan, Pahang :
_bUMP,
_c2008
300 _a81 p. :
_bill. (some col.) ;
_c30 cm. +
_e1 computer disc
502 _aProject paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2008
520 _aA 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.
650 0 _aBiometric identification
650 0 _aImage processing
999 _aVIRTUA40
_c2557
_d2563
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5200*6500*6501*9992