A Minutiae-based Fingerprint Matching Algorithm Using Phase Correlation

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Title A Minutiae-based Fingerprint Matching Algorithm Using Phase Correlation
Author Chen, Weiping; Gao, Yongsheng
Publication Title Digital Image Computing: Techniques and Applications
Editor Murk Redding (General Chair)
Year Published 2007
Publisher IEEE
Abstract Minutiae-based method is the most popular approach in fingerprint matching. However, most existing methods need to search for the best correspondence of minutiae pairs or use reference points (core and delta points) to estimate the alignment parameters. The problem of lost minutiae or spurious minutiae always occurs during the minutiae detection process. Hence, the corresponding pairs or reference points may not be found under this condition. This paper proposes a new minutiae-based fingerprint matching algorithm using phase correlation. We define a new representation called Minutiae Direction Map (MDM). First, we convert minutiae sets into 2D image spaces. Then the transformation parameters are calculated using phase correlation between two MDMs to align two fingerprints to be matched. The similarity of two fingerprints is determined by the distance between two minutiae sets. Our approach does not need to search for the corresponding minutiae pairs. Experimental results show that the proposed approach performed well in matching fingerprint minutiae sets, which greatly improved the economy of storage space.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.ieee.org/portal/site
Alternative URI http://dx.doi.org/10.1109/DICTA.2007.4426801
Copyright Statement Copyright 2007 IEEE. 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 to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Conference name The 9th International Conference on Digital Image Computing: Techniques and Applications DICTA 2007
Location Adelaide
Date From 2007-12-03
Date To 2007-12-05
URI http://hdl.handle.net/10072/19117
Date Accessioned 2008-02-25
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Computer Vision; Pattern Recognition
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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