CASIA OpenIR  > 中国科学院分子影像重点实验室
Combining features for distorted fingerprint matching
Cao, Kai; Yang, Xin; Tao, Xunqiang; Li, Peng; Zang, Yali; Tian, Jie
AbstractExtracting and fusing discriminative features in fingerprint matching, especially in distorted fingerprint matching, is a challenging task. In this paper, we introduce two novel features to deal with nonlinear distortion in fingerprints. One is finger placement direction which is extracted from fingerprint foreground and the other is ridge compatibility which is determined by the singular values of the affine matrix estimated by some matched minutiae and their associated ridges. Both of them are fixed-length and easy to be incorporated into matching score. In order to improve the matching performance, we combine these two features with orientation descriptor and local minutiae structure, which are used to measure minutiae similarity, to achieve fingerprint matching. In addition, we represent minutiae set as a graph and use graph connect component and iterative robust least square (IRLS) to detect creases and remove spurious minutiae close to creases. Experimental results on FVC2004 DB1 and DB3 demonstrate that the proposed algorithm could obtain promising results. The equal error rates (EER) are 3.35% and 1.49% on DB1 and DB3, respectively. (C) 2009 Elsevier Ltd. All rights reserved.
KeywordDistorted Fingerprint Matching Ridge Compatibility Local Feature Finger Placement Direction
WOS HeadingsScience & Technology ; Technology
Indexed BySCI
WOS Research AreaComputer Science
WOS SubjectComputer Science, Hardware & Architecture ; Computer Science, Interdisciplinary Applications ; Computer Science, Software Engineering
WOS IDWOS:000278161500006
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Corresponding AuthorTian, Jie
AffiliationChinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Cao, Kai,Yang, Xin,Tao, Xunqiang,et al. Combining features for distorted fingerprint matching[J]. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS,2010,33(3):258-267.
APA Cao, Kai,Yang, Xin,Tao, Xunqiang,Li, Peng,Zang, Yali,&Tian, Jie.(2010).Combining features for distorted fingerprint matching.JOURNAL OF NETWORK AND COMPUTER APPLICATIONS,33(3),258-267.
MLA Cao, Kai,et al."Combining features for distorted fingerprint matching".JOURNAL OF NETWORK AND COMPUTER APPLICATIONS 33.3(2010):258-267.
Files in This Item: Download All
File Name/Size DocType Version Access License
170.Journal of Netwo(1937KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Cao, Kai]'s Articles
[Yang, Xin]'s Articles
[Tao, Xunqiang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Cao, Kai]'s Articles
[Yang, Xin]'s Articles
[Tao, Xunqiang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Cao, Kai]'s Articles
[Yang, Xin]'s Articles
[Tao, Xunqiang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 170.Journal of Network and Computer Applications(2010).pdf
Format: Adobe PDF
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.