A New Detection Approach for the Fingerprint Core Location Using Extended Relation Graph
Summary :
This paper describes a new approach to detect a fingerprint core location using the extended relational graph, which is generated by the segmentation of the ridge directional image. The extended relational graph presents the adjacency between segments of the directional image and the boundary information between segments of the directional image. The boundary curves generated by the boundary information in the extended relational graph is approximated to the straight lines. The fingerprint core location is calculated as center of the gravity in the points of intersection of these approximated lines. Experimental results show that 90.8% of the 130 fingerprint samples are succeeded to detect the core location.
- Publication
- IEICE TRANSACTIONS on Information Vol.E88-D No.10 pp.2308-2312
- Publication Date
- 2005/10/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietisy/e88-d.10.2308
- Type of Manuscript
- Special Section LETTER (Special Section on Image Recognition and Understanding)
- Category
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Tomohiko OHTSUKA, Takeshi TAKAHASHI, "A New Detection Approach for the Fingerprint Core Location Using Extended Relation Graph" in IEICE TRANSACTIONS on Information,
vol. E88-D, no. 10, pp. 2308-2312, October 2005, doi: 10.1093/ietisy/e88-d.10.2308.
Abstract: This paper describes a new approach to detect a fingerprint core location using the extended relational graph, which is generated by the segmentation of the ridge directional image. The extended relational graph presents the adjacency between segments of the directional image and the boundary information between segments of the directional image. The boundary curves generated by the boundary information in the extended relational graph is approximated to the straight lines. The fingerprint core location is calculated as center of the gravity in the points of intersection of these approximated lines. Experimental results show that 90.8% of the 130 fingerprint samples are succeeded to detect the core location.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e88-d.10.2308/_p
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@ARTICLE{e88-d_10_2308,
author={Tomohiko OHTSUKA, Takeshi TAKAHASHI, },
journal={IEICE TRANSACTIONS on Information},
title={A New Detection Approach for the Fingerprint Core Location Using Extended Relation Graph},
year={2005},
volume={E88-D},
number={10},
pages={2308-2312},
abstract={This paper describes a new approach to detect a fingerprint core location using the extended relational graph, which is generated by the segmentation of the ridge directional image. The extended relational graph presents the adjacency between segments of the directional image and the boundary information between segments of the directional image. The boundary curves generated by the boundary information in the extended relational graph is approximated to the straight lines. The fingerprint core location is calculated as center of the gravity in the points of intersection of these approximated lines. Experimental results show that 90.8% of the 130 fingerprint samples are succeeded to detect the core location.},
keywords={},
doi={10.1093/ietisy/e88-d.10.2308},
ISSN={},
month={October},}
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TY - JOUR
TI - A New Detection Approach for the Fingerprint Core Location Using Extended Relation Graph
T2 - IEICE TRANSACTIONS on Information
SP - 2308
EP - 2312
AU - Tomohiko OHTSUKA
AU - Takeshi TAKAHASHI
PY - 2005
DO - 10.1093/ietisy/e88-d.10.2308
JO - IEICE TRANSACTIONS on Information
SN -
VL - E88-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2005
AB - This paper describes a new approach to detect a fingerprint core location using the extended relational graph, which is generated by the segmentation of the ridge directional image. The extended relational graph presents the adjacency between segments of the directional image and the boundary information between segments of the directional image. The boundary curves generated by the boundary information in the extended relational graph is approximated to the straight lines. The fingerprint core location is calculated as center of the gravity in the points of intersection of these approximated lines. Experimental results show that 90.8% of the 130 fingerprint samples are succeeded to detect the core location.
ER -
English
