Name
Abstract | ||
|---|---|---|
In this paper, a new approach based on an improved fractal dimensions (FDs) for an iris recognition system is proposed. Improved FDs, based on a differential box-counting (DBC) method were extracted from horizontal coefficients, vertical coefficients, and diagonal coefficients in different levels, by discrete wavelet transform. The CASIA iris images database was used to evaluate the algorithm; the simulation results are very promising. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.6688/JISE.201903_35(2).0002 | JOURNAL OF INFORMATION SCIENCE AND ENGINEERING |
Keywords | Field | DocType |
iris recognition,hough transform,fractal dimension,differential box-counting,Coif3 wavelets | Iris recognition,Pattern recognition,Fractal dimension,Computer science,Artificial intelligence,Box counting,Distributed computing | Journal |
Volume | Issue | ISSN |
35 | 2 | 1016-2364 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ebrahimi Ebrahimi | 1 | 0 | 0.34 |
| Mohammad Bagher Tavakoli | 2 | 3 | 3.31 |
| Farbod Setoudeh | 3 | 3 | 1.51 |