Name
Abstract | ||
|---|---|---|
This paper presents a robust dorsal hand vein authentication system. A new method is proposed for the region of interest extraction using fingertips and finger valley key points. Some new features and a new classifier are proposed based on information set theory. Information set stems from a fuzzy set on representing the uncertainty in its attribute/information source values using the information-... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/MIS.2018.2881494 | IEEE Intelligent Systems |
Keywords | Field | DocType |
Veins,Feature extraction,Entropy,Uncertainty,Authentication,Thumb | Data mining,Feature vector,Pattern recognition,Computer science,Binary entropy function,Feature extraction,Robustness (computer science),Fuzzy set,Artificial intelligence,Region of interest,Classifier (linguistics),Sigmoid function | Journal |
Volume | Issue | ISSN |
34 | 2 | 1541-1672 |
Citations | PageRank | References |
2 | 0.41 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Parul Arora | 1 | 18 | 1.41 |
| Smriti Srivastava | 2 | 137 | 19.60 |
| Madasu Hanmandlu | 3 | 486 | 47.81 |
| Sandeep Bhargava | 4 | 2 | 0.41 |