Name
Abstract | ||
|---|---|---|
This paper describes a new approach to fingerprint area detection in a digital fingerprint image. This approach was evaluated for real-world scenario, specifically for fingerprints scanned from dactyloscopic fingerprint cards. These images, which compose widely used fingerprint databases, have their specific problems and properties such as handwritten or printed characters, drawings or specific noise in the background or spreaded over the fingerprint itself. Our approach was compared with three other methods and yields significantly better results than the best of the benchmarked methods. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-17622-7_23 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Fingerprint,fingerprint area detection,semantic conformance testing,image segmentation,Gabor filters | Computer vision,Fingerprint recognition,Filter (signal processing),Fingerprint,Image segmentation,Digital fingerprint,Artificial intelligence,Geography | Conference |
Volume | ISSN | Citations |
118 | 1865-0929 | 0 |
PageRank | References | Authors |
0.34 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michal Dolezel | 1 | 2 | 3.87 |
| Dana Hejtmankova | 2 | 0 | 0.34 |
| Christoph Busch | 3 | 163 | 33.54 |
| Martin Drahanský | 4 | 29 | 10.33 |