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A fingerprint identification algorithm by clustering similarity
Tian, J; He, YL; Chen, H; Yang, X; Tian, Jie
Source PublicationSCIENCE IN CHINA SERIES F-INFORMATION SCIENCES
2005-08-01
Volume48Issue:4Pages:437-451
SubtypeArticle
AbstractThis paper introduces a fingerprint identification algorithm by clustering similarity with the view to overcome the dilemmas encountered in fingerprint identification. To decrease multi-spectrum noises in a fingerprint, we first use a dyadic scale space (DSS) method for image enhancement. The second step describes the relative features among minutiae by building a minutia-simplex which contains a pair of minutiae and their local associated ridge information, with its transformation-variant and invariant relative features applied for comprehensive similarity measurement and for parameter estimation respectively. The clustering method is employed to estimate the transformation space. Finally, multi-resolution technique is used to find an optimal transformation model for getting the maximal mutual information between the input and the template features. The experimental results including the performance evaluation by the 2nd International Verification Competition in 2002 (FVC2002), over the four fingerprint databases of FVC2002 indicate that our method is promising in an automatic fingerprint identification system (AFIS).
KeywordDyadic Scale Space (Dss) Minutia-simplex Multi-resolution Comprehensive Similarity
WOS HeadingsScience & Technology ; Technology
WOS KeywordVERIFICATION ; ENHANCEMENT ; SPACE
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems
WOS IDWOS:000231865400003
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9127
Collection09年以前成果
Corresponding AuthorTian, Jie
AffiliationChinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Ctr Biomet Res & Testing,Grad Sch, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Tian, J,He, YL,Chen, H,et al. A fingerprint identification algorithm by clustering similarity[J]. SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES,2005,48(4):437-451.
APA Tian, J,He, YL,Chen, H,Yang, X,&Tian, Jie.(2005).A fingerprint identification algorithm by clustering similarity.SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES,48(4),437-451.
MLA Tian, J,et al."A fingerprint identification algorithm by clustering similarity".SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES 48.4(2005):437-451.
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