Nonminutiae-Based Decision-Level Fusion for Fingerprint Verification
<p/> <p>Most of the proposed methods used for fingerprint verification are based on local visible features called <it>minutiae</it>. However, due to problems for extracting minutiae from low-quality fingerprint images, other discriminatory information has been considered. In...
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Series: | EURASIP Journal on Advances in Signal Processing |
Online Access: | http://asp.eurasipjournals.com/content/2007/060590 |
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doaj-e6565010da2347599c726334f6617ebe2020-11-25T01:01:29ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802007-01-0120071060590Nonminutiae-Based Decision-Level Fusion for Fingerprint VerificationHelfroush SadeghGhassemian Hassan<p/> <p>Most of the proposed methods used for fingerprint verification are based on local visible features called <it>minutiae</it>. However, due to problems for extracting minutiae from low-quality fingerprint images, other discriminatory information has been considered. In this paper, the idea of decision-level fusion of <it>orientation</it>, <it>texture,</it> and <it>spectral</it> features of fingerprint image is proposed. At first, a value is assigned to the similarity of block orientation field of two-fingerprint images. This is also performed for texture and spectral features. Each one of the proposed similarity measure does not need core-point existence and detection. Rotation and translation of two fingerprint images are also taken into account in each method and all points of fingerprint image are employed in feature extraction. Then, the similarity of each feature is normalized and used for decision-level fusion of fingerprint information. The experimental results on <it>FVC2000</it> database demonstrate the effectiveness of the proposed fusion method and its significant accuracy.</p> http://asp.eurasipjournals.com/content/2007/060590 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Helfroush Sadegh Ghassemian Hassan |
spellingShingle |
Helfroush Sadegh Ghassemian Hassan Nonminutiae-Based Decision-Level Fusion for Fingerprint Verification EURASIP Journal on Advances in Signal Processing |
author_facet |
Helfroush Sadegh Ghassemian Hassan |
author_sort |
Helfroush Sadegh |
title |
Nonminutiae-Based Decision-Level Fusion for Fingerprint Verification |
title_short |
Nonminutiae-Based Decision-Level Fusion for Fingerprint Verification |
title_full |
Nonminutiae-Based Decision-Level Fusion for Fingerprint Verification |
title_fullStr |
Nonminutiae-Based Decision-Level Fusion for Fingerprint Verification |
title_full_unstemmed |
Nonminutiae-Based Decision-Level Fusion for Fingerprint Verification |
title_sort |
nonminutiae-based decision-level fusion for fingerprint verification |
publisher |
SpringerOpen |
series |
EURASIP Journal on Advances in Signal Processing |
issn |
1687-6172 1687-6180 |
publishDate |
2007-01-01 |
description |
<p/> <p>Most of the proposed methods used for fingerprint verification are based on local visible features called <it>minutiae</it>. However, due to problems for extracting minutiae from low-quality fingerprint images, other discriminatory information has been considered. In this paper, the idea of decision-level fusion of <it>orientation</it>, <it>texture,</it> and <it>spectral</it> features of fingerprint image is proposed. At first, a value is assigned to the similarity of block orientation field of two-fingerprint images. This is also performed for texture and spectral features. Each one of the proposed similarity measure does not need core-point existence and detection. Rotation and translation of two fingerprint images are also taken into account in each method and all points of fingerprint image are employed in feature extraction. Then, the similarity of each feature is normalized and used for decision-level fusion of fingerprint information. The experimental results on <it>FVC2000</it> database demonstrate the effectiveness of the proposed fusion method and its significant accuracy.</p> |
url |
http://asp.eurasipjournals.com/content/2007/060590 |
work_keys_str_mv |
AT helfroushsadegh nonminutiaebaseddecisionlevelfusionforfingerprintverification AT ghassemianhassan nonminutiaebaseddecisionlevelfusionforfingerprintverification |
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1725209125381472256 |