Name
Abstract | ||
|---|---|---|
Recent years have witnessed a growing interesting in developing automatic 3D palmprint recognition systems. The key problem of 3D palmprint recognition is to contrive an effective representation. In this paper, we propose a 3D palmprint recognition method by completely fusing of multiple block wise features. First, we propose a shape index multi-direction binary code strategy to extract 2D texture-level features of 3D palmprint. Then, we use the compact surface type binary code scheme to characterize 3D structure-level features of 3D palmprint. Finally, we integrate them together to construct the complete block wise descriptor for 3D palmprint recognition. Experiments conducted on the public available 3D palmprint database validate the effectiveness of our proposed method. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s11042-020-09000-7 | MULTIMEDIA TOOLS AND APPLICATIONS |
Keywords | DocType | Volume |
Bioinformatics,3D palmprint recognition,Shape index,Binary coding,Block wise descriptor | Journal | 79.0 |
Issue | ISSN | Citations |
29-30 | 1380-7501 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bing Yang | 1 | 44 | 8.37 |
| Xueqin Xiang | 2 | 0 | 0.34 |
| Jin-liang Yao | 3 | 12 | 3.72 |
| Duanqing Xu | 4 | 78 | 13.16 |