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A New Detection Approach for the Fingerprint Core Location Using Extended Relation Graph
Tomohiko OHTSUKA Takeshi TAKAHASHI
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2005/10/01
Print ISSN: 0916-8532
Type of Manuscript: Special Section LETTER (Special Section on Image Recognition and Understanding)
fingerprint, core detection, extended relational graph, ridge directional image,
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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.