Name
Abstract | ||
|---|---|---|
The paper presents an innovative hierarchical classification model which should be applied for large-scale biometric identification systems, in order to improve their performance. The model is relying on a multi-level fusion approach, but completed with a feature-selection strategy. The practical application of the proposed model concerns networks security issues, especially for databases remote access, but also physical access control issues such as border or other secured sites. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/EIDWT.2012.40 | EIDWT |
Keywords | Field | DocType |
biometric identification systems,databases remote access,network security issues,hierarchical classifier,image fusion,large-scale biometric identification system,feature-selection strategy,physical access control issue,large-scale biometric identification systems,innovative hierarchical classification model,security issue,secured site,multilevel fusion approach,innovation management,biometrics (access control),feature extraction,image classification,multi-level fusion approach,authorisation,hierarchical data classification model,physical access control issues,practical application,proposed model concerns network,secured sites,multi-level biometric fusion,fingerprint recognition,iris recognition | Iris recognition,Data mining,Image fusion,Fingerprint recognition,Computer science,Biometrics,Hierarchical classifier,Contextual image classification,Physical access,Hierarchical database model | Conference |
ISBN | Citations | PageRank |
978-1-4673-1986-7 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sorin Soviany | 1 | 0 | 1.35 |
| Sorin Puscoci | 2 | 0 | 1.69 |
| Mariana Jurian | 3 | 0 | 0.34 |