Name
Abstract | ||
|---|---|---|
In this study, an efficient human authentication method is proposed which utilises finger texture (FT) patterns. This method consists of two essential contributions: a robust and automatic finger extraction method to isolate the fingers from the hand images; and a new feature extraction method based on an enhanced local line binary pattern (ELLBP). To overcome poorly imaged regions of the FTs, a m... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1049/iet-bmt.2016.0090 | IET Biometrics |
Keywords | Field | DocType |
feature extraction,fingerprint identification,image classification,image texture,neural nets,probability | Computer vision,Authentication,Pattern recognition,Computer science,Local line binary pattern,Feature extraction,Probabilistic neural network,Artificial intelligence,Biometrics | Journal |
Volume | Issue | ISSN |
6 | 2 | 2047-4938 |
Citations | PageRank | References |
4 | 0.51 | 14 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Raid Rafi Omar Al-Nima | 1 | 17 | 2.05 |
| S. S. Dlay | 2 | 198 | 23.94 |
| Saadoon A. M. Al-Sumaidaee | 3 | 11 | 1.30 |
| W. L. Woo | 4 | 325 | 49.88 |
| Jonathon A. Chambers | 5 | 56 | 6.96 |