Name
Abstract | ||
|---|---|---|
Finger texture (FT) images acquired from different spectral lighting sensors reveal various features. This inspires the idea of establishing a recognition model between FT features collected using two different spectral lighting forms to provide high recognition performance. This can be implemented by establishing an efficient feature extraction and effective classifier, which can be applied to di... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-spr.2018.5091 | IET Signal Processing |
Keywords | Field | DocType |
feature extraction,image classification,image sensors,image texture,neural nets,probability | Texture Descriptor,Pattern recognition,Control theory,Multispectral image,Feature extraction,Probabilistic neural network,White light,Artificial intelligence,Classifier (linguistics),Multi spectral,Mathematics | Journal |
Volume | Issue | ISSN |
12 | 9 | 1751-9675 |
Citations | PageRank | References |
1 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Raid Rafi Omar Al-Nima | 1 | 17 | 2.05 |
| Musab T. S. Al-Kaltakchi | 2 | 9 | 2.80 |
| Saadoon A. M. Al-Sumaidaee | 3 | 11 | 1.30 |
| S. S. Dlay | 4 | 198 | 23.94 |
| W. L. Woo | 5 | 325 | 49.88 |
| Tingting Han | 6 | 98 | 7.34 |
| Jonathon A. Chambers | 7 | 334 | 28.03 |