Name
Abstract | ||
|---|---|---|
The image preprocessing plays an important role in finger vein recognition system. However, previous preprocessing schemes remind weakness to be resolved for the high finger vein recongtion performance. In this paper, we propose a new finger vein preprocessing that includes finger region localization, alignment, finger vein ROI segmentation and enhancement. The experimental results show that the proposed scheme is capable of enhancing the quality of finger vein image effectively and reliably. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1117/12.2030689 | Proceedings of SPIE |
Keywords | Field | DocType |
Finger vein,Image preprocessing,ROI localization,Image enhancement | Computer vision,Computer science,Segmentation,Preprocessor,Artificial intelligence,Finger vein recognition | Conference |
Volume | Issue | ISSN |
8878 | null | 0277-786X |
Citations | PageRank | References |
4 | 0.47 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jialiang Peng | 1 | 79 | 8.19 |
| Qiong Li | 2 | 68 | 10.69 |
| Ning Wang | 3 | 83 | 7.85 |
| Ahmed A. Abd El-Latif | 4 | 371 | 36.32 |
| Xiamu Niu | 5 | 754 | 91.72 |