CASIA OpenIR  > 09年以前成果
Improving fingerprint recognition performance based on feature fusion and adaptive registration pattern
Tian, J; He, YL; Yang, X; Li, L; Chen, XJ; Li, SZ; Lai, J; Tan, T; Feng, G; Wang, Y; Tian, Jie
Source PublicationADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS
2004
Volume3338Issue:2004Pages:57-66
SubtypeArticle
AbstractThis paper proposes an adaptive registration pattern based fingerprint matching method dealing with the non-linear deformations in fingerprint. The "registration pattern" between two fingerprints is the optimal registration of every part of one fingerprint with respect to the other fingerprint. Registration patterns generated from imposter's matching attempts are different from those patterns from genuine matching attempts, although they share some similarities in the aspect of minutiae. In this paper, we combine minutiae, associate ridges and orientation fields to determine the registration pattern between two fingerprints and match them. The proposed matching scheme has two stages. An offline, training stage, derives a genuine registration pattern base from a set of genuine matching attempts. Then, an online matching stage registers the two fingerprints and determines the registration pattern. A further fine matching is conducted. In addition, the block orientation field is used as the global feature of a fingerprint to improve the performance of this method. And 2(nd) and 3(rd) relational structures between minutiae are applied to promote the fingerprint matching method. Experimental results evaluated by FVC2004 demonstrate that the proposed algorithm is an accurate one.
KeywordAdaptive Registration Pattern Relational Structure Between Minutiae Fingerprint Indentification
WOS HeadingsScience & Technology ; Technology
WOS KeywordVERIFICATION
Indexed BySCI ; ISTP
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000226133000006
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/8929
Collection09年以前成果
Corresponding AuthorTian, Jie
Affiliation1.Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Biometr Res Grp, Beijing 100080, Peoples R China
2.Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China
Recommended Citation
GB/T 7714
Tian, J,He, YL,Yang, X,et al. Improving fingerprint recognition performance based on feature fusion and adaptive registration pattern[J]. ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS,2004,3338(2004):57-66.
APA Tian, J.,He, YL.,Yang, X.,Li, L.,Chen, XJ.,...&Tian, Jie.(2004).Improving fingerprint recognition performance based on feature fusion and adaptive registration pattern.ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS,3338(2004),57-66.
MLA Tian, J,et al."Improving fingerprint recognition performance based on feature fusion and adaptive registration pattern".ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS 3338.2004(2004):57-66.
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