A New Bit-Plane Extraction Approach for Fingerprint Recognition Using Phase-Only Correlation Function

Fingerprint patterns are virtually unique and make human identifiable. Based on this fact, many researches have been conducted on fingerprint to create new or improved recognition systems. Due to the rapid growth of human population, larger capacity of databases are needed for the storage of fingerp...

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Main Author:	Florence, Francis Lothai
Format:	Thesis
Language:	English English
Published:	2016
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://ir.unimas.my/id/eprint/30526/1/A%20New%20Bit%20Plane%20Extraction%20For%20Fingerprint%20Recognition%20using%20Phase%20%2024pgs.pdf http://ir.unimas.my/id/eprint/30526/4/Florence.pdf
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id	my-unimas-ir.30526
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spelling	my-unimas-ir.305262023-03-23T06:19:27Z A New Bit-Plane Extraction Approach for Fingerprint Recognition Using Phase-Only Correlation Function 2016 Florence, Francis Lothai TK Electrical engineering. Electronics Nuclear engineering Fingerprint patterns are virtually unique and make human identifiable. Based on this fact, many researches have been conducted on fingerprint to create new or improved recognition systems. Due to the rapid growth of human population, larger capacity of databases are needed for the storage of fingerprints. With larger sizes of fingerprint images, bigger memory storage is needed and the cost for such memory is also higher. The focus of this thesis is on bit-plane extraction of a fingerprint image, which could reduce the file size of a grayscale image. Literature studies reveal that this method is commonly used in image compression and retrieval with limited research in fingerprint recognition. Combination of this method with Phase-Only Correlation (POC) function reduces computation time for a fingerprint recognition while improve the recognition rate. POC based recognition method is adopted because of its simplicity and ability to achieve high accuracy compared to other recognition algorithms, especially for low quality fingerprint image. There are two fingerprint databases used for evaluations, which are FingerDOS and a benchmark database, FVC2002-Db1a. A number of analyses are conducted to examine factors that might reduce the performance of the recognition system. Different rotation angles and cropping dimension are applied on the fingerprint to investigate the effects of misaligned fingerprints. The best bit-plane is selected based on the highest recognition rate produced by the system. From the experiment results, bit-plane 7 has the highest performance compared to other bit-planes. Since fingerprint recognition by using bit-plane image could perform as good as grayscale image, this system has the potential to reduce the storage requirement for fingerprint database. Universiti Malaysia Sarawak(UNIMAS) 2016 Thesis http://ir.unimas.my/id/eprint/30526/ http://ir.unimas.my/id/eprint/30526/1/A%20New%20Bit%20Plane%20Extraction%20For%20Fingerprint%20Recognition%20using%20Phase%20%2024pgs.pdf text en public http://ir.unimas.my/id/eprint/30526/4/Florence.pdf text en validuser masters Universiti Malaysia Sarawak(UNIMAS) Faculty of Engineering
institution	Universiti Malaysia Sarawak
collection	UNIMAS Institutional Repository
language	English English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Florence, Francis Lothai A New Bit-Plane Extraction Approach for Fingerprint Recognition Using Phase-Only Correlation Function
description	Fingerprint patterns are virtually unique and make human identifiable. Based on this fact, many researches have been conducted on fingerprint to create new or improved recognition systems. Due to the rapid growth of human population, larger capacity of databases are needed for the storage of fingerprints. With larger sizes of fingerprint images, bigger memory storage is needed and the cost for such memory is also higher. The focus of this thesis is on bit-plane extraction of a fingerprint image, which could reduce the file size of a grayscale image. Literature studies reveal that this method is commonly used in image compression and retrieval with limited research in fingerprint recognition. Combination of this method with Phase-Only Correlation (POC) function reduces computation time for a fingerprint recognition while improve the recognition rate. POC based recognition method is adopted because of its simplicity and ability to achieve high accuracy compared to other recognition algorithms, especially for low quality fingerprint image. There are two fingerprint databases used for evaluations, which are FingerDOS and a benchmark database, FVC2002-Db1a. A number of analyses are conducted to examine factors that might reduce the performance of the recognition system. Different rotation angles and cropping dimension are applied on the fingerprint to investigate the effects of misaligned fingerprints. The best bit-plane is selected based on the highest recognition rate produced by the system. From the experiment results, bit-plane 7 has the highest performance compared to other bit-planes. Since fingerprint recognition by using bit-plane image could perform as good as grayscale image, this system has the potential to reduce the storage requirement for fingerprint database.
format	Thesis
qualification_level	Master's degree
author	Florence, Francis Lothai
author_facet	Florence, Francis Lothai
author_sort	Florence, Francis Lothai
title	A New Bit-Plane Extraction Approach for Fingerprint Recognition Using Phase-Only Correlation Function
title_short	A New Bit-Plane Extraction Approach for Fingerprint Recognition Using Phase-Only Correlation Function
title_full	A New Bit-Plane Extraction Approach for Fingerprint Recognition Using Phase-Only Correlation Function
title_fullStr	A New Bit-Plane Extraction Approach for Fingerprint Recognition Using Phase-Only Correlation Function
title_full_unstemmed	A New Bit-Plane Extraction Approach for Fingerprint Recognition Using Phase-Only Correlation Function
title_sort	new bit-plane extraction approach for fingerprint recognition using phase-only correlation function
granting_institution	Universiti Malaysia Sarawak(UNIMAS)
granting_department	Faculty of Engineering
publishDate	2016
url	http://ir.unimas.my/id/eprint/30526/1/A%20New%20Bit%20Plane%20Extraction%20For%20Fingerprint%20Recognition%20using%20Phase%20%2024pgs.pdf http://ir.unimas.my/id/eprint/30526/4/Florence.pdf
_version_	1783728387377856512

A New Bit-Plane Extraction Approach for Fingerprint Recognition Using Phase-Only Correlation Function

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