Line profile-based fingerprint matching

Line profile-based fingerprint matching

This conference paper was published in the IWCI 2016 - 2016 International Workshop on Computational Intelligence [© 2016 IEEE.] and the definitive version is available at: http://doi.org/10.1109/IWCI.2016.7860350 The Journal's website is at: http://ieeexplore.ieee.org/document/7860350/?reload=t...

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Détails bibliographiques
Auteurs principaux: Ali, Hafsa Moontari, Corraya, Sonia
Autres auteurs: Department of Computer Science and Engineering, BRAC University
Format: Conference paper
Langue:English
Publié: © 2017 Institute of Electrical and Electronics Engineers Inc. 2018
Sujets:
Fingerprint match
Line profile
Registration point
Ridge line
Biometrics
Accès en ligne:http://hdl.handle.net/10361/9666
http://doi.org/10.1109/IWCI.2016.7860350
id 10361-9666
record_format dspace
spelling 10361-96662022-01-27T03:12:54Z Line profile-based fingerprint matching Ali, Hafsa Moontari Corraya, Sonia Department of Computer Science and Engineering, BRAC University Fingerprint match Line profile Registration point Ridge line Biometrics This conference paper was published in the IWCI 2016 - 2016 International Workshop on Computational Intelligence [© 2016 IEEE.] and the definitive version is available at: http://doi.org/10.1109/IWCI.2016.7860350 The Journal's website is at: http://ieeexplore.ieee.org/document/7860350/?reload=true Traditional fingerprint matching algorithms primarily focus on minutiae points on fingertip surface. In this paper, a novel approach is proposed for fingerprint matching that is based on ridge and valley characteristics of fingerprints. At first, the input fingerprint image is normalized and the registration point of that particular fingerprint is detected. Then a line profile is generated centering on that reference point. The distances between the reference point and ridges and the count of intersection points of line profile and ridges are stored in database. This process is repeated after every 15-degree angle to 345-degree in clock-wise direction and for orientation angle, the distances are stored sequentially. For matching intersection point count number along with the sequence of distance values are compared with the stored values. This new method can detect fingerprint from any orientation angle. Experimental result shows 90.87% accuracy of the proposed method. Published 2018-03-18T07:33:03Z 2018-03-18T07:33:03Z 2/21/2017 Conference paper Ali, H. M., & Corraya, S. (2017). Line profile-based fingerprint matching. Paper presented at the IWCI 2016 - 2016 International Workshop on Computational Intelligence, 115-119. 10.1109/IWCI.2016.7860350 9.78151E+12 http://hdl.handle.net/10361/9666 http://doi.org/10.1109/IWCI.2016.7860350 en http://ieeexplore.ieee.org/document/7860350/?reload=true © 2017 Institute of Electrical and Electronics Engineers Inc.
institution Brac University
collection Institutional Repository
language English
topic Fingerprint match
Line profile
Registration point
Ridge line
Biometrics
spellingShingle Fingerprint match
Line profile
Registration point
Ridge line
Biometrics
Ali, Hafsa Moontari
Corraya, Sonia
Line profile-based fingerprint matching
description This conference paper was published in the IWCI 2016 - 2016 International Workshop on Computational Intelligence [© 2016 IEEE.] and the definitive version is available at: http://doi.org/10.1109/IWCI.2016.7860350 The Journal's website is at: http://ieeexplore.ieee.org/document/7860350/?reload=true
author2 Department of Computer Science and Engineering, BRAC University
author_facet Department of Computer Science and Engineering, BRAC University
Ali, Hafsa Moontari
Corraya, Sonia
format Conference paper
author Ali, Hafsa Moontari
Corraya, Sonia
author_sort Ali, Hafsa Moontari
title Line profile-based fingerprint matching
title_short Line profile-based fingerprint matching
title_full Line profile-based fingerprint matching
title_fullStr Line profile-based fingerprint matching
title_full_unstemmed Line profile-based fingerprint matching
title_sort line profile-based fingerprint matching
publisher © 2017 Institute of Electrical and Electronics Engineers Inc.
publishDate 2018
url http://hdl.handle.net/10361/9666
http://doi.org/10.1109/IWCI.2016.7860350
work_keys_str_mv AT alihafsamoontari lineprofilebasedfingerprintmatching
AT corrayasonia lineprofilebasedfingerprintmatching
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