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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/7776

Title: A Robust Fingerprint Indexing Scheme Using Minutia Neighborhood Structure and Low-Order Delaunay Triangles
Authors: Liang, Xuefeng
Bishnu, A
Asano, T
Keywords: Fingerprint distortion
fingerprint indexing
loworder Delaunay triangle
minutia detail
order k-Delaunay triangulation
triplet
Issue Date: 2007-12
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Magazine name: IEEE Transactions on Information Forensics and Security
Volume: 2
Number: 4
Start page: 721
End page: 733
DOI: 10.1109/TIFS.2007.910242
Abstract: Fingerprint indexing is a key technique in automatic fingerprint identification systems (AFIS). However, handling fingerprint distortion is still a problem. This paper concentrates on a more accurate fingerprint indexing algorithm that efficiently retrieves the top N possible matching candidates from a huge database. To this end, we design a novel feature based on minutia neighborhood structure (we call this minutia detail and it contains richer minutia information) and a more stable triangulation algorithm (low-order Delaunay triangles, consisting of order 0 and 1 Delaunay triangles), which are both insensitive to fingerprint distortion. The indexing features include minutia detail and attributes of low-order Delaunay triangle (its handedness, angles, maximum edge, and related angles between orientation field and edges). Experiments on databases FVC2002 and FVC2004 show that the proposed algorithm considerably narrows down the search space in fingerprint databases and is stable for various fingerprints. We also compared it with other indexing approaches, and the results show our algorithm has better performance, especially on fingerprints with distortion.
Rights: Copyright (C) 2007 IEEE. Reprinted from IEEE Transactions on Information Forensics and Security, 2(4), 2007, 721-733. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of JAIST's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
URI: http://hdl.handle.net/10119/7776
Material Type: publisher
Appears in Collections:b10-1. 雑誌掲載論文 (Journal Articles)

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