Name
Abstract | ||
|---|---|---|
This paper presents two new approaches to improve the performance of palm-vein-based identification systems presented in the literature. The proposed approach attempts to more effectively accommodate the potential deformations, rotational and translational changes by encoding the orientation preserving features and utilizing a novel region-based matching scheme. We systematically compare the previously proposed palm-vein identification approaches with our proposed ones on two different databases that are acquired with the contactless and touch-based imaging setup. We evaluate the performance improvement in both verification and recognition scenarios and analyze the influence of enrollment size on the performance. In this context, the proposed approaches are also compared for its superiority using single image enrollment on two different databases. The rigorous experimental results presented in this paper, on the databases of 100 and 250 subjects, consistently conforms the superiority of the proposed approach in both the verification and recognition scenario. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/TIFS.2011.2158423 | IEEE Transactions on Information Forensics and Security |
Keywords | Field | DocType |
performance improvement,single image enrollment,enrollment size,human identification,proposed approach attempt,different databases,palm-vein-based identification system,palm-vein images,new approach,palm-vein identification approach,recognition scenario,skin,biometrics,feature extraction,image recognition | Computer vision,Data mining,Biometrics access control,Pattern recognition,Computer science,Image matching,Feature extraction,Palm vein,Artificial intelligence,Biometrics,Performance improvement,Encoding (memory) | Journal |
Volume | Issue | ISSN |
6 | 4 | 1556-6013 |
Citations | PageRank | References |
52 | 1.75 | 17 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yingbo Zhou | 1 | 263 | 19.43 |
| Ajay Kumar | 2 | 1505 | 71.81 |