Name
Abstract | ||
|---|---|---|
This paper proposes a novel triangle descriptor taking advantage of global orientation and local triangle structure information for fingerprint representation . The representation allows the derivation of a fixed-size feature vector with which we can reliably achieve corresponding triangles that is invariant to the rotation and translation of the fingerprint. With these corresponding triangles as seeds, we develop a non-alignment fingerprint matching scheme based on triangular framework. Experimental results show that the proposed method performs better than other approaches. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICICIC.2006.482 | ICICIC (3) |
Keywords | Field | DocType |
global information,fingerprint representation,global orientation,local triangle structure information,non-alignment fingerprint,novel triangle descriptor,corresponding triangle,triangular framework,fixed-size feature vector,feature vector,feature extraction,fingerprint identification | Computer vision,Feature vector,Pattern recognition,Computer science,Image matching,Global information,Feature extraction,Fingerprint,Artificial intelligence,Invariant (mathematics),Machine learning | Conference |
ISBN | Citations | PageRank |
0-7695-2616-0 | 3 | 0.43 |
References | Authors | |
6 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xuying Zhao | 1 | 56 | 7.39 |
| Yangsheng Wang | 2 | 750 | 66.25 |
| Jin Qi | 3 | 66 | 7.43 |
| Xiaolong Zheng | 4 | 632 | 41.87 |