Name
Abstract | ||
|---|---|---|
Integration of various fingerprint matching algorithm can improve the performance of a fingerprint verification system. In this paper, we propose a new framework that takes advantage of both minutiae and orientation field. There are two contributions in this scheme: firstly, we use orientation field that costs less computational expense than that of FingerCode with which has been proposed by Jain to integrate minutiae; secondly, D-S evidence theory, which can deal with the uncertainty between two matchers, is advanced to integrate two matchers. Experimental results show that the proposed method can improve the performance of a fingerprint verification system. |
Year | DOI | Venue |
|---|---|---|
2006 | null | SPPRA |
Keywords | Field | DocType |
fingerprint,orientation,minutia | Computer vision,Data mining,Pattern recognition,Fingerprint Verification Competition,Minutiae,Computer science,Fingerprint,Artificial intelligence,Blossom algorithm | Conference |
Volume | Issue | ISBN |
2006 | null | 0-88986-580-9 |
Citations | PageRank | References |
0 | 0.34 | 14 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xuying Zhao | 1 | 56 | 7.39 |
| Yangsheng Wang | 2 | 750 | 66.25 |
| Zhongchao Shi | 3 | 24 | 5.65 |