Florence, Francis-Lothai and Bong, David B L (2017) A fingerprint matching algorithm using bit-plane extraction method with phase-only correlation. International Journal of Biometrics, 9 (1). pp. 44-66. ISSN 1755-8301
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Abstract
This paper introduces a new method in fingerprint feature extraction based on bit-plane. A bit-plane image requires smaller storage space than a greyscale image. Region of interest (ROI) of a fingerprint image is extracted by using a modified blob analysis method, and then the core point of the ROI is detected for dimension reduction process. Before bit-plane is extracted, the fingerprint image is enhanced by using Fourier transform. Bit-plane 7 of the enhanced image is used as the input for fingerprint matching with phase-only correlation (POC) function. Experiment results showed that the storage space requirement for a fingerprint database could be reduced up to 87% per image for a bit-plane image compared with a greyscale image. The proposed fingerprint matching algorithm achieves 81.16% of recognition rate on FVC2002-Db1a database and 89.78% on FingerDOS database. Copyright © 2017 Inderscience Enterprises Ltd.
Item Type: | Article |
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Uncontrolled Keywords: | bit-plane, biometric, feature extraction, fingerprint matching algorithm, phase-only correlation, POC, research, Universiti Malaysia Sarawak, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education |
Subjects: | Q Science > QA Mathematics |
Divisions: | Academic Faculties, Institutes and Centres > Faculty of Engineering Faculties, Institutes, Centres > Faculty of Engineering |
Depositing User: | Ibrahim |
Date Deposited: | 16 Aug 2017 01:46 |
Last Modified: | 16 Aug 2017 01:46 |
URI: | http://ir.unimas.my/id/eprint/17211 |
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