Fingerprint reconstruction based on improved directional image

Fingerprint has been used as a biometric feature for security reasons for centuries. Automated Fingerprint Identification System (AFIS) is one such authentication method used in wide range of application domains such as ecommerce and automated banking. Fingerprint image contains flow-like pattern ca...

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主要作者:	Othman, Mohamad Kharulli
格式:	Thesis
语言:	English
出版:	2005
主题:	QA75 Electronic computers Computer science
在线阅读:	http://eprints.utm.my/id/eprint/4331/1/MohamadKharulliOthmanMFSKSM2005.pdf
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id	my-utm-ep.4331
record_format	uketd_dc
spelling	my-utm-ep.43312018-01-22T04:36:28Z Fingerprint reconstruction based on improved directional image 2005-10 Othman, Mohamad Kharulli QA75 Electronic computers. Computer science Fingerprint has been used as a biometric feature for security reasons for centuries. Automated Fingerprint Identification System (AFIS) is one such authentication method used in wide range of application domains such as ecommerce and automated banking. Fingerprint image contains flow-like pattern called ridges which are separated by furrows. Ridge ending and bifurcation are two type of minutiaes used as basic features in AFIS. There are two approaches for minutiae extraction, namely conventional and direct. In the conventional approach, fingerprint images have to go through several processes including noise removal, enhancement, directional image computation, segmentation and thinning. Whereas, in the direct approach, the minutiaes are directly extracted from a gray scale image without going through all the above processes. Extracting minutiaes have been found to be an error prone process, depending on the quality of the fingerprint image. In the conventional approach, for instance, a low quality image will generate many artificial minutiaes which lead to errors in fingerprint matching. Similarly, in the direct approach, a bad quality image that contains scars, sweat spots and uneven ridges and furrows can lead to artificial minutiaes. This thesis presents a fingerprint image reconstruction algorithm using Directional Fourier filtering. Prior to the image reconstruction, a directional image is first computed using Mehtre technique and followed by a 3-tier enhancement processes viz. Histogram Equalization, High-pass filter and Median filter. By using the directional image as ridges orientations map, its original fingerprint image is filtered using the Directional Fourier filtering to produce a new fingerprint image. The reconstruction algorithm was tested with 500 fingerprint images. The results of the experiment is very promising. 2005-10 Thesis http://eprints.utm.my/id/eprint/4331/ http://eprints.utm.my/id/eprint/4331/1/MohamadKharulliOthmanMFSKSM2005.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Othman, Mohamad Kharulli Fingerprint reconstruction based on improved directional image
description	Fingerprint has been used as a biometric feature for security reasons for centuries. Automated Fingerprint Identification System (AFIS) is one such authentication method used in wide range of application domains such as ecommerce and automated banking. Fingerprint image contains flow-like pattern called ridges which are separated by furrows. Ridge ending and bifurcation are two type of minutiaes used as basic features in AFIS. There are two approaches for minutiae extraction, namely conventional and direct. In the conventional approach, fingerprint images have to go through several processes including noise removal, enhancement, directional image computation, segmentation and thinning. Whereas, in the direct approach, the minutiaes are directly extracted from a gray scale image without going through all the above processes. Extracting minutiaes have been found to be an error prone process, depending on the quality of the fingerprint image. In the conventional approach, for instance, a low quality image will generate many artificial minutiaes which lead to errors in fingerprint matching. Similarly, in the direct approach, a bad quality image that contains scars, sweat spots and uneven ridges and furrows can lead to artificial minutiaes. This thesis presents a fingerprint image reconstruction algorithm using Directional Fourier filtering. Prior to the image reconstruction, a directional image is first computed using Mehtre technique and followed by a 3-tier enhancement processes viz. Histogram Equalization, High-pass filter and Median filter. By using the directional image as ridges orientations map, its original fingerprint image is filtered using the Directional Fourier filtering to produce a new fingerprint image. The reconstruction algorithm was tested with 500 fingerprint images. The results of the experiment is very promising.
format	Thesis
qualification_level	Master's degree
author	Othman, Mohamad Kharulli
author_facet	Othman, Mohamad Kharulli
author_sort	Othman, Mohamad Kharulli
title	Fingerprint reconstruction based on improved directional image
title_short	Fingerprint reconstruction based on improved directional image
title_full	Fingerprint reconstruction based on improved directional image
title_fullStr	Fingerprint reconstruction based on improved directional image
title_full_unstemmed	Fingerprint reconstruction based on improved directional image
title_sort	fingerprint reconstruction based on improved directional image
granting_institution	Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department	Faculty of Computer Science and Information System
publishDate	2005
url	http://eprints.utm.my/id/eprint/4331/1/MohamadKharulliOthmanMFSKSM2005.pdf
_version_	1747814516749500416

Fingerprint reconstruction based on improved directional image

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