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Fingerprint image enhancement using median sigmoid filter

Quality of fingerprint image is most essential to ensure good performance of minutiae extraction result since it depends heavily on the quality of fingerprint images. Fingerprint image with noise usually will produce spurious minutiae. In this paper, new combination filter called Median Sigmoid (MS)...

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Main Authors: Abdul Hamid, Ainul Azura, Kumoi, Rosely, Mohd. Rahim, Mohd Shafry, Othman, Nur Zuraifah Syazrah
Format: Article
Language:English
Published: Penerbit UTM Press 2015
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/55285/1/MohdShafryMohdRahim2015_FingerprintImageEnhancementusingMedian.pdf
http://eprints.utm.my/id/eprint/55285/
http://dx.doi.org/10.11113/jt.v75.5057
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id my.utm.55285
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spelling my.utm.552852017-11-01T04:16:42Z http://eprints.utm.my/id/eprint/55285/ Fingerprint image enhancement using median sigmoid filter Abdul Hamid, Ainul Azura Kumoi, Rosely Mohd. Rahim, Mohd Shafry Othman, Nur Zuraifah Syazrah QA75 Electronic computers. Computer science Quality of fingerprint image is most essential to ensure good performance of minutiae extraction result since it depends heavily on the quality of fingerprint images. Fingerprint image with noise usually will produce spurious minutiae. In this paper, new combination filter called Median Sigmoid (MS) filter is introduced to remove the unwanted noise created during the acquisition process and hence increasing the accuracy of minutiae extraction result. The result shows that MS filter is an effective filter in enhancing the quality of a noisy image. Penerbit UTM Press 2015-11 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/55285/1/MohdShafryMohdRahim2015_FingerprintImageEnhancementusingMedian.pdf Abdul Hamid, Ainul Azura and Kumoi, Rosely and Mohd. Rahim, Mohd Shafry and Othman, Nur Zuraifah Syazrah (2015) Fingerprint image enhancement using median sigmoid filter. Jurnal Teknologi, 75 (4). pp. 1-6. ISSN 2180-3722 http://dx.doi.org/10.11113/jt.v75.5057 DOI:10.11113/jt.v75.5057
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Abdul Hamid, Ainul Azura
Kumoi, Rosely
Mohd. Rahim, Mohd Shafry
Othman, Nur Zuraifah Syazrah
Fingerprint image enhancement using median sigmoid filter
description Quality of fingerprint image is most essential to ensure good performance of minutiae extraction result since it depends heavily on the quality of fingerprint images. Fingerprint image with noise usually will produce spurious minutiae. In this paper, new combination filter called Median Sigmoid (MS) filter is introduced to remove the unwanted noise created during the acquisition process and hence increasing the accuracy of minutiae extraction result. The result shows that MS filter is an effective filter in enhancing the quality of a noisy image.
format Article
author Abdul Hamid, Ainul Azura
Kumoi, Rosely
Mohd. Rahim, Mohd Shafry
Othman, Nur Zuraifah Syazrah
author_facet Abdul Hamid, Ainul Azura
Kumoi, Rosely
Mohd. Rahim, Mohd Shafry
Othman, Nur Zuraifah Syazrah
author_sort Abdul Hamid, Ainul Azura
title Fingerprint image enhancement using median sigmoid filter
title_short Fingerprint image enhancement using median sigmoid filter
title_full Fingerprint image enhancement using median sigmoid filter
title_fullStr Fingerprint image enhancement using median sigmoid filter
title_full_unstemmed Fingerprint image enhancement using median sigmoid filter
title_sort fingerprint image enhancement using median sigmoid filter
publisher Penerbit UTM Press
publishDate 2015
url http://eprints.utm.my/id/eprint/55285/1/MohdShafryMohdRahim2015_FingerprintImageEnhancementusingMedian.pdf
http://eprints.utm.my/id/eprint/55285/
http://dx.doi.org/10.11113/jt.v75.5057
_version_ 1643653751333978112
score 13.251813

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