Partial fingerprint verification using combine feature technique / Ahmad Haziq Omar

Biometric is a method used for measuring and analyzing of physical attributes such as facial features, voices or retinal scan. This technology can be used to define an individual's unique identity and for security purpose. Nowadays, there are many types of biometric used such as fingerprint, ve...

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Main Author: Omar, Ahmad Haziq
Format: Thesis
Language:English
Published: 2010
Online Access:https://ir.uitm.edu.my/id/eprint/64315/1/64315.PDF
https://ir.uitm.edu.my/id/eprint/64315/
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spelling my.uitm.ir.643152023-09-08T09:10:36Z https://ir.uitm.edu.my/id/eprint/64315/ Partial fingerprint verification using combine feature technique / Ahmad Haziq Omar Omar, Ahmad Haziq Biometric is a method used for measuring and analyzing of physical attributes such as facial features, voices or retinal scan. This technology can be used to define an individual's unique identity and for security purpose. Nowadays, there are many types of biometric used such as fingerprint, vein, face, palm, iris and sound. There are many ways to match a fingerprint. Most of the matching technique nowadays is done by using the global features such as the core delta point and the global orientation of the fingerprint such whorl, loop and arch. However, this project will discuss about different type of matching the images using combine features technique. Combine features is a technique that combine the information between two minute and matched it with the database. It stores information such as the coordinates of the minute and the ridge count between the two minutiae points. This matching technique also can be used to solve the partial fingerprint problems. 2010 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/64315/1/64315.PDF Partial fingerprint verification using combine feature technique / Ahmad Haziq Omar. (2010) Degree thesis, thesis, Universiti Teknologi MARA (UiTM).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description Biometric is a method used for measuring and analyzing of physical attributes such as facial features, voices or retinal scan. This technology can be used to define an individual's unique identity and for security purpose. Nowadays, there are many types of biometric used such as fingerprint, vein, face, palm, iris and sound. There are many ways to match a fingerprint. Most of the matching technique nowadays is done by using the global features such as the core delta point and the global orientation of the fingerprint such whorl, loop and arch. However, this project will discuss about different type of matching the images using combine features technique. Combine features is a technique that combine the information between two minute and matched it with the database. It stores information such as the coordinates of the minute and the ridge count between the two minutiae points. This matching technique also can be used to solve the partial fingerprint problems.
format Thesis
author Omar, Ahmad Haziq
spellingShingle Omar, Ahmad Haziq
Partial fingerprint verification using combine feature technique / Ahmad Haziq Omar
author_facet Omar, Ahmad Haziq
author_sort Omar, Ahmad Haziq
title Partial fingerprint verification using combine feature technique / Ahmad Haziq Omar
title_short Partial fingerprint verification using combine feature technique / Ahmad Haziq Omar
title_full Partial fingerprint verification using combine feature technique / Ahmad Haziq Omar
title_fullStr Partial fingerprint verification using combine feature technique / Ahmad Haziq Omar
title_full_unstemmed Partial fingerprint verification using combine feature technique / Ahmad Haziq Omar
title_sort partial fingerprint verification using combine feature technique / ahmad haziq omar
publishDate 2010
url https://ir.uitm.edu.my/id/eprint/64315/1/64315.PDF
https://ir.uitm.edu.my/id/eprint/64315/
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score 13.188404