Knowledge Commons of Institute of Automation,CAS
A fingerprint identification algorithm by clustering similarity | |
Tian, J; He, YL; Chen, H; Yang, X; Tian, Jie | |
发表期刊 | SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES |
2005-08-01 | |
卷号 | 48期号:4页码:437-451 |
文章类型 | Article |
摘要 | This 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). |
关键词 | Dyadic Scale Space (Dss) Minutia-simplex Multi-resolution Comprehensive Similarity |
WOS标题词 | Science & Technology ; Technology |
关键词[WOS] | VERIFICATION ; ENHANCEMENT ; SPACE |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Information Systems |
WOS记录号 | WOS:000231865400003 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/9127 |
专题 | 09年以前成果 |
通讯作者 | Tian, Jie |
作者单位 | Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Ctr Biomet Res & Testing,Grad Sch, Beijing 100080, Peoples R China |
推荐引用方式 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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