Permit to Work (P.T.W) Using Thumb-print Recognition System

Tuan Daud, Tuan Mohd lrwan (2009) Permit to Work (P.T.W) Using Thumb-print Recognition System. [Final Year Project] (Unpublished)

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Fingerprint is one of the oldest biometric identification that has been researched.
The uniqueness of fmgerprint minutiae which can differentiate everybody in this world
without duplication has made it most suitable for authentication system. Permit to Work
(P.T.W) system has been widely used in petroleum or plant related industry which expose
to highly dangerous activity and hazards. By taking the two systems into consideration,
the purpose of this project is to integrate the fingerprint authentication in P.T.W approval
system. The challenge in this project is to understand the basic knowledge of fingerprint
and do some analysis to enhance the image and matching process. Since the fingerprint
images are rarely of perfect quality and they may be degraded or corrupted due to
variations in skin and impression conditions, the enhancement process for fingerprint is
essential. There are three enhancement method have been carry out on the fingerprint
image and the result are being monitored. The three methods are adaptive histogram
equalization, filtering using Gabor Filter and filtering using Ridge Filter. The purpose of
the enhancement analysis is to get the better image to be used for authentication system
later. Analysis of fmgerprint image is then carried out by using minutiae extraction. The
purpose of minutiae extraction is to detect the minutiae features which are termination
and bifurcation. Fro111 these three enhancement methods, we can see that the best method
which produces better output is by using Ridge Filter. The application to use this system
has been created and approval processes have been tested.

Item Type: Final Year Project
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE: Engineering > Electrical and Electronic
Depositing User: Users 2053 not found.
Date Deposited: 30 Sep 2013 16:55
Last Modified: 25 Jan 2017 09:44

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