Name
Abstract | ||
|---|---|---|
Touchless finger detection for the biometric fingerprint verification/identification process with mobile devices is considered in this paper. Fingerprint capturing is based on a camera system with bright-field illumination. For finger detection, a machine learning based algorithm with Aggregated Channel Features (ACFs) and a skin-color based finger segmentation with a geometric shape based approach for fingertip detection are considered, respectively. Results demonstrate the performance of both algorithms. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/AVSS.2015.7301751 | 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) |
Keywords | Field | DocType |
touchless fingerprint verification,mobile devices,touchless finger detection,biometric fingerprint verification process,biometric fingerprint identification process,fingerprint capturing,camera system,bright-field illumination,machine learning based algorithm,aggregated channel features,ACF,skin-color based finger segmentation,geometric shape based approach,fingertip detection | Computer vision,Pattern recognition,Segmentation,Fingerprint Verification Competition,Computer science,Feature extraction,Image segmentation,Fingerprint,Mobile device,Geometric shape,Artificial intelligence,Biometrics | Conference |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christof Jonietz | 1 | 17 | 4.21 |
| Eduardo Monari | 2 | 19 | 3.33 |
| Heiko Widak | 3 | 0 | 0.34 |
| Chengchao Qu | 4 | 34 | 5.89 |