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
Source PublicationJOURNAL OF NETWORK AND COMPUTER APPLICATIONS
2010-05-01
Volume33Issue:3Pages:258-267
SubtypeArticle
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
WOS KeywordIMAGE-ENHANCEMENT ; VERIFICATION ; ALGORITHM ; RECOGNITION
Indexed BySCI
Language英语
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
Identifierhttp://ir.ia.ac.cn/handle/173211/3918
Collection中国科学院分子影像重点实验室
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.
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