A New Detection Approach for the Fingerprint Core Location Using Extended Relation Graph

Tomohiko OHTSUKA  Takeshi TAKAHASHI 

Publication
IEICE TRANSACTIONS on Information and Systems  Vol.E88-D  No.10  pp.2308-2312
Publication Date: 2005/10/01
Online ISSN: 
Print ISSN: 0916-8532
Type of Manuscript: Special Section LETTER (Special Section on Image Recognition and Understanding)
Category: 
Keyword: 
fingerprint,  core detection,  extended relational graph,  ridge directional image, 

Full Text: PDF(2.6MB)

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.