Name
Abstract | ||
|---|---|---|
The use of low-resolution images adopting more relaxed acquisition conditions such as mobile phones and surveillance videos is becoming increasingly common in iris recognition nowadays. Concurrently, a great variety of single image super-resolution techniques are emerging, especially with the use of convolutional neural networks (CNNs). The main objective of these methods is to try to recover fine... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1049/iet-bmt.2018.5146 | IET Biometrics |
Keywords | Field | DocType |
edge detection,feature extraction,feedforward neural nets,image resolution,image texture,iris recognition,realistic images,video signal processing,visual databases | Computer vision,Iris recognition,Signal processing,Pattern recognition,Convolutional neural network,Computer science,Artificial intelligence,Image database,Mobile phone,Superresolution | Journal |
Volume | Issue | ISSN |
8 | 1 | 2047-4938 |
Citations | PageRank | References |
3 | 0.38 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eduardo Ribeiro | 1 | 12 | 2.64 |
| Andreas Uhl | 2 | 1958 | 223.07 |
| Fernando Alonso-Fernandez | 3 | 531 | 37.65 |