Name
Abstract | ||
|---|---|---|
We define a novel structure for each minutia in the fingerprint based on the global orientation field. Then the structure pattern is used to establish the minutia correspondence between the test fingerprint and template fingerprint. A new technique calculating the matching score is developed based on both the number of corresponding minutia pairs and the similarity level between the template fingerprint orientation field and the aligned test fingerprint orientation field. The results of the experiment conducted on the public data collection, DB3, demonstrate the effectiveness of the method in this paper. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-25948-0_47 | BIOMETRIC AUTHENTICATION, PROCEEDINGS |
Keywords | Field | DocType |
data collection | Data collection,Similitude,Computer vision,Minutiae,Computer science,Image processing,Fingerprint,Artificial intelligence | Conference |
Volume | ISSN | Citations |
3072 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 9 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jin Qi | 1 | 66 | 7.43 |
| Yangsheng Wang | 2 | 750 | 66.25 |
| Zhongchao Shi | 3 | 24 | 5.65 |
| Ke Xu | 4 | 0 | 0.34 |
| Xuying Zhao | 5 | 56 | 7.39 |