NDLI: Minutiae location and direction adjustment for nonlinear distorted fingerprint image matching

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2010 2nd International Conference on Computer Engineering and Technology

Volume 7 - 2010

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Parallel AES algorithm for fast Data Encryption on GPU

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Minutiae location and direction adjustment for nonlinear distorted fingerprint image matching

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2009 International Conference on Computer Engineering and Technology

Minutiae location and direction adjustment for nonlinear distorted fingerprint image matching

Content Provider	IEEE Xplore Digital Library
Author	Hui Chen Jianping Yin Xin Shu Chunfeng Hu Yong Li
Copyright Year	2010
Description	Author affiliation: School of Computer Science, National University of Defense Technology, Changsha, China (Hui Chen; Jianping Yin; Xin Shu; Chunfeng Hu; Yong Li)
Abstract	Nonlinear distorted fingerprint image matching is a challenge task in most computer-based Auto Fingerprint Identification Systems. Especially for minutiae-based matching algorithm, which is most widely adopted, both the location and direction of the minutiae are changed because of distortion. We carefully observe many distorted fingerprint images, find out some useful characteristics of minutiae' deviation on nonlinear distorted image, and try to use them to improve the matching accuracy. In this paper, we propose a method to adjust the minutiae position and direction on the basis of some landmark minutiae pairs got in pre-processing step. As a result, the minutiae deviation caused by nonlinear distortion can be recovered to a certain extent. Experimental results on FVC2004 DB2 show that our method can improve the matching performance clearly. Also this method can be deployed in most existing minutiae-based Auto Fingerprint Identification Systems easily.
File Size	356951
File Format	PDF
ISBN	9781424463473
e-ISBN	9781424463497
DOI	10.1109/ICCET.2010.5486203
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Forensics Humans minutiae adjustment Fingerprint recognition Elasticity FVC2004 Application software multiple reference minutiae alignment Computer science Image sensors nonlinear distortion Image matching Nonlinear distortion Pressing
Content Type	Text
Resource Type	Article

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