Fingerprint center point location using directional field

This paper presents a reliable fingerprint center point (CP) location algorithm for the alignment of fingerprints to construct a shift invariant fingerprint recognition system. The proposed algorithm is based on Alteration Tracking (AT) and CP estimation (CPE). AT is proposed to extract a track that...

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Main Authors: Chan, Y. H., Syed Abu Bakar, Syed Abdul Rahman
Format: Book Section
Language:English
Published: IEEE 2004
Subjects:
Online Access:http://eprints.utm.my/9820/
http://eprints.utm.my/9820/1/YHChan2004_fingerprint_center_point_location_using.pdf
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author Chan, Y. H.
Syed Abu Bakar, Syed Abdul Rahman
author_facet Chan, Y. H.
Syed Abu Bakar, Syed Abdul Rahman
author_sort Chan, Y. H.
building UTeM Institutional Repository
collection Online Access
description This paper presents a reliable fingerprint center point (CP) location algorithm for the alignment of fingerprints to construct a shift invariant fingerprint recognition system. The proposed algorithm is based on Alteration Tracking (AT) and CP estimation (CPE). AT is proposed to extract a track that records the transition from one quantized direction to another. CPE is aimed to find the bending point with highest transition of direction from the transition track. This algorithm is tested against fingerprints captured from SAGEM MSO100 optical scanner and the second database from University of Bologna. Experimental result shows that the proposed algorithm is capable of reliably locating fingerprint CP.
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institution Universiti Teknologi Malaysia
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publishDate 2004
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spelling utm-98202011-03-09T00:24:36Z http://eprints.utm.my/9820/ Fingerprint center point location using directional field Chan, Y. H. Syed Abu Bakar, Syed Abdul Rahman TK Electrical engineering. Electronics Nuclear engineering This paper presents a reliable fingerprint center point (CP) location algorithm for the alignment of fingerprints to construct a shift invariant fingerprint recognition system. The proposed algorithm is based on Alteration Tracking (AT) and CP estimation (CPE). AT is proposed to extract a track that records the transition from one quantized direction to another. CPE is aimed to find the bending point with highest transition of direction from the transition track. This algorithm is tested against fingerprints captured from SAGEM MSO100 optical scanner and the second database from University of Bologna. Experimental result shows that the proposed algorithm is capable of reliably locating fingerprint CP. IEEE 2004-12-18 Book Section PeerReviewed application/pdf en http://eprints.utm.my/9820/1/YHChan2004_fingerprint_center_point_location_using.pdf Chan, Y. H. and Syed Abu Bakar, Syed Abdul Rahman (2004) Fingerprint center point location using directional field. In: Proceedings - Third International Conference on Image and Graphics. IEEE, USA, pp. 286-289. ISBN 0769522440; 978-076952244-9 http://dx.doi.org/10.1109/ICIG.2004.67 10.1109/ICIG.2004.67
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Chan, Y. H.
Syed Abu Bakar, Syed Abdul Rahman
Fingerprint center point location using directional field
title Fingerprint center point location using directional field
title_full Fingerprint center point location using directional field
title_fullStr Fingerprint center point location using directional field
title_full_unstemmed Fingerprint center point location using directional field
title_short Fingerprint center point location using directional field
title_sort fingerprint center point location using directional field
topic TK Electrical engineering. Electronics Nuclear engineering
url http://eprints.utm.my/9820/
http://eprints.utm.my/9820/
http://eprints.utm.my/9820/
http://eprints.utm.my/9820/1/YHChan2004_fingerprint_center_point_location_using.pdf