User identification system for inked fingerprint pattern based on central moments

The use of the fingerprint recognition has been and remains very important in many security applications and licensing systems. Fingerprint recognition is required in many areas such as licensing access to networks, corporate computers and organizations. In this paper, the system of fingerprint reco...

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Main Authors: Baker, Esraa Jaffar, Alazawi, Sundos Abdulameer, Ahmed, Nada Thanoon, Ismail, Mohd. Arfian, Hassan, Rohayanti, Abd. Halim, Shahliza, Sutikno, Tole
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2021
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Online Access:http://eprints.utm.my/id/eprint/95502/1/RohayantiHassan2021_UserIdentificationSystemforInkedFingerprint.pdf
http://eprints.utm.my/id/eprint/95502/
http://dx.doi.org/10.11591/ijeecs.v24.i2.pp1149-1160
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Institution: Universiti Teknologi Malaysia
Language: English
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spelling my.utm.955022022-05-31T12:45:36Z http://eprints.utm.my/id/eprint/95502/ User identification system for inked fingerprint pattern based on central moments Baker, Esraa Jaffar Alazawi, Sundos Abdulameer Ahmed, Nada Thanoon Ismail, Mohd. Arfian Hassan, Rohayanti Abd. Halim, Shahliza Sutikno, Tole QA75 Electronic computers. Computer science The use of the fingerprint recognition has been and remains very important in many security applications and licensing systems. Fingerprint recognition is required in many areas such as licensing access to networks, corporate computers and organizations. In this paper, the system of fingerprint recognition that can be used in several cases of fingerprint such as being rounded at an angle by a randomly inked fingerprint on paper. So, fingerprint image is tooked at a different angle in order to identify the owner of the ink fingerprint. This method involves two working levels. The first one, the fingerprint pattern's shape features are calculated based on the central moments of each image being listed on a regular basis with three states rotation. Each image is rotated at a specified angle. In the second level, the fingerprint holder entered is identified using the previously extracted shape features and compared to the three local databases content of three rotation states. When applied the method for several persons by taken their inked fingerprint on the paper, the accuracy of the system in identifying the owner of the fingerprint after rotation states were close to 83.71. Institute of Advanced Engineering and Science 2021-11 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/95502/1/RohayantiHassan2021_UserIdentificationSystemforInkedFingerprint.pdf Baker, Esraa Jaffar and Alazawi, Sundos Abdulameer and Ahmed, Nada Thanoon and Ismail, Mohd. Arfian and Hassan, Rohayanti and Abd. Halim, Shahliza and Sutikno, Tole (2021) User identification system for inked fingerprint pattern based on central moments. Indonesian Journal of Electrical Engineering and Computer Science, 24 (2). pp. 1149-1160. ISSN 2502-4752 http://dx.doi.org/10.11591/ijeecs.v24.i2.pp1149-1160 DOI:10.11591/ijeecs.v24.i2.pp1149-1160
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
Baker, Esraa Jaffar
Alazawi, Sundos Abdulameer
Ahmed, Nada Thanoon
Ismail, Mohd. Arfian
Hassan, Rohayanti
Abd. Halim, Shahliza
Sutikno, Tole
User identification system for inked fingerprint pattern based on central moments
description The use of the fingerprint recognition has been and remains very important in many security applications and licensing systems. Fingerprint recognition is required in many areas such as licensing access to networks, corporate computers and organizations. In this paper, the system of fingerprint recognition that can be used in several cases of fingerprint such as being rounded at an angle by a randomly inked fingerprint on paper. So, fingerprint image is tooked at a different angle in order to identify the owner of the ink fingerprint. This method involves two working levels. The first one, the fingerprint pattern's shape features are calculated based on the central moments of each image being listed on a regular basis with three states rotation. Each image is rotated at a specified angle. In the second level, the fingerprint holder entered is identified using the previously extracted shape features and compared to the three local databases content of three rotation states. When applied the method for several persons by taken their inked fingerprint on the paper, the accuracy of the system in identifying the owner of the fingerprint after rotation states were close to 83.71.
format Article
author Baker, Esraa Jaffar
Alazawi, Sundos Abdulameer
Ahmed, Nada Thanoon
Ismail, Mohd. Arfian
Hassan, Rohayanti
Abd. Halim, Shahliza
Sutikno, Tole
author_facet Baker, Esraa Jaffar
Alazawi, Sundos Abdulameer
Ahmed, Nada Thanoon
Ismail, Mohd. Arfian
Hassan, Rohayanti
Abd. Halim, Shahliza
Sutikno, Tole
author_sort Baker, Esraa Jaffar
title User identification system for inked fingerprint pattern based on central moments
title_short User identification system for inked fingerprint pattern based on central moments
title_full User identification system for inked fingerprint pattern based on central moments
title_fullStr User identification system for inked fingerprint pattern based on central moments
title_full_unstemmed User identification system for inked fingerprint pattern based on central moments
title_sort user identification system for inked fingerprint pattern based on central moments
publisher Institute of Advanced Engineering and Science
publishDate 2021
url http://eprints.utm.my/id/eprint/95502/1/RohayantiHassan2021_UserIdentificationSystemforInkedFingerprint.pdf
http://eprints.utm.my/id/eprint/95502/
http://dx.doi.org/10.11591/ijeecs.v24.i2.pp1149-1160
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