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Fingerprinting of deformed paper images acquired by scanners

Binary images; Bins; Extraction; Gabor filters; Image processing; Palmprint recognition; Pattern recognition; Binary patterns; Chi-square; Identification rates; Image pattern recognition; Local binary patterns; Paper texture; Texture extraction; Texture information; Image texture

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Bibliographic Details
Main Authors: Khaleefah S.H., Nasrudin M.F., Mostafa S.A.
Other Authors: 57188929678
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-224442023-05-29T14:01:01Z Fingerprinting of deformed paper images acquired by scanners Khaleefah S.H. Nasrudin M.F. Mostafa S.A. 57188929678 25633994400 37036085800 Binary images; Bins; Extraction; Gabor filters; Image processing; Palmprint recognition; Pattern recognition; Binary patterns; Chi-square; Identification rates; Image pattern recognition; Local binary patterns; Paper texture; Texture extraction; Texture information; Image texture Images texture extraction is a core step in image pattern recognition applications such as paper texture identification or fingerprinting. Different methods are applied for paper images texture extraction. Subsequently, one of the well-known methods in images texture extraction is the Locale Binary Pattern (LBP) method. However, the LBP method show a number of drawbacks in paper images texture extraction and two of which are neglecting some texture information of the images and incompetent to some images deformation due to its local view. In this paper, combinations of Gabor filters and a LBP operator are proposed to reduce the effects of the mentioned drawbacks in papers fingerprinting domain. We use self-collected textures from 102 paper images in the test. Consequently, the testing results of the proposed combinations improve paper images identification rate by 28.45% when the Gabor filters have a scale of 9 and an orientation of ?/2 degree. This paper finds that applying Gabor filters prior to LBP method improve the LBP description and the papers fingerprinting accuracy. � 2015 IEEE. Final 2023-05-29T06:01:01Z 2023-05-29T06:01:01Z 2015 Conference Paper 10.1109/SCORED.2015.7449363 2-s2.0-84966473523 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966473523&doi=10.1109%2fSCORED.2015.7449363&partnerID=40&md5=5fe52a670ccf2fda202e2c6459cd65b4 https://irepository.uniten.edu.my/handle/123456789/22444 7449363 393 397 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Binary images; Bins; Extraction; Gabor filters; Image processing; Palmprint recognition; Pattern recognition; Binary patterns; Chi-square; Identification rates; Image pattern recognition; Local binary patterns; Paper texture; Texture extraction; Texture information; Image texture
author2 57188929678
author_facet 57188929678
Khaleefah S.H.
Nasrudin M.F.
Mostafa S.A.
format Conference Paper
author Khaleefah S.H.
Nasrudin M.F.
Mostafa S.A.
spellingShingle Khaleefah S.H.
Nasrudin M.F.
Mostafa S.A.
Fingerprinting of deformed paper images acquired by scanners
author_sort Khaleefah S.H.
title Fingerprinting of deformed paper images acquired by scanners
title_short Fingerprinting of deformed paper images acquired by scanners
title_full Fingerprinting of deformed paper images acquired by scanners
title_fullStr Fingerprinting of deformed paper images acquired by scanners
title_full_unstemmed Fingerprinting of deformed paper images acquired by scanners
title_sort fingerprinting of deformed paper images acquired by scanners
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806423266737258496
score 13.211869

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