UUM Electronic Theses and Dissertation
UUM ETD | Universiti Utara Malaysian Electronic Theses and Dissertation
FAQs | Feedback | Search Tips | Sitemap

Algoritma Pengekstrakan Imej Cap Jari Berdasarkan Analisa Variasi Arah

Nurzaid, Muhd. Zain (2002) Algoritma Pengekstrakan Imej Cap Jari Berdasarkan Analisa Variasi Arah. Masters thesis, Universiti Utara Malaysia.

[thumbnail of NURZAID_B._MUHD_ZAIN.pdf] PDF
NURZAID_B._MUHD_ZAIN.pdf
Restricted to Registered users only

Download (11MB)
[thumbnail of 1.NURZAID_B._MUHD_ZAIN.pdf]
Preview
PDF
1.NURZAID_B._MUHD_ZAIN.pdf

Download (1MB) | Preview

Abstract

The goal of this research project was to produce an extraction algorithm capable of producing skeleton structure from a fingerprint image. As a result, an extraction algorithm capable of extracting a skeleton structure from a digital 256 gray level fingerprint image was developed. A technique to identify the existence of ridge structure within a 16x16 block of image was designed. This technique uses four samples from four different directions to produce four waveform graphs that exhibit the characteristics of the image contained in a block. Several processing procedures was designed to perform various important tasks such as separating background from the foreground, detecting edges, thinning ridges, removing noises and converting into binary form. These tasks was performed mainly using a 3x3 matrics
operation over an area of 3x3 pixels. The development process and problems encountered during the development phase his also being described. The proposed algorithm was tested and proved to achieve about 70% of success rate.

Item Type: Thesis (Masters)
Supervisor : UNSPECIFIED
Item ID: 732
Uncontrolled Keywords: Extraction Algorithm, Skeleton Structure, Fingerprint Image
Subjects: H Social Sciences > HV Social Pathology. Social and Public Welfare
Divisions: Faculty and School System > Sekolah Siswazah
Date Deposited: 04 Nov 2009 08:18
Last Modified: 24 Jul 2013 12:08
Department: Sekolah Siswazah
URI: https://etd.uum.edu.my/id/eprint/732

Actions (login required)

View Item
View Item