Name
Abstract | ||
|---|---|---|
Fingerprint image segmentation is part of preprocessing in fingerprint image recognition system. It has a critical effect to the fingerprint image recognition system. A combined method segmentation method is proposed in this article. We use the orientation field information combined with statistical characteristics of gray. The fingerprint image realized the second segmentation with the method proposed in this paper. The experimental results show that the method used in this paper achieves a good effect. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/VECIMS.2012.6273218 | VECIMS |
Keywords | Field | DocType |
fingerprint identification,statistical characteristics of gray,combined method segmentation method,statistical analysis,fingerprint segmentation,image segmentation,orientation field information,fingerprint image segmentation,gray statistical characteristics,fingerprint image pre-processing,fingerprint image recognition system,histograms,image recognition,feature extraction,fingerprint recognition | Computer vision,Scale-space segmentation,Pattern recognition,Computer science,Image texture,Segmentation,Fingerprint image,Segmentation-based object categorization,Fingerprint,Image segmentation,Region growing,Artificial intelligence | Conference |
Volume | Issue | ISSN |
null | null | 1944-9429 |
ISBN | Citations | PageRank |
978-1-4577-1758-1 | 2 | 0.39 |
References | Authors | |
5 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juntao Xue | 1 | 3 | 1.79 |
| Hongwei Li | 2 | 9 | 4.96 |