Name
Abstract | ||
|---|---|---|
An iris recognition requires parametric modeling texture. The extracted model should characterize the individual corresponding to considered iris. Such a model is often referred to as biometric signature. Several approaches to uniquely specify an iris by extracting parameters characteristic of its texture exist in the literature. An original approach based on an analysis by the Meyer wavelet of the iris texture is detailed in this paper. A comparative study between our approach and some techniques that have been studied, implemented and tested in subsequent work is carried out on the CASIA V.1 database. The experimental results show that the proposed method has promising performances. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/ATSIP.2017.8075515 | 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) |
Keywords | Field | DocType |
Biometry,iris,texture analysis,Meyer wavelet,decision,evaluation | Iris recognition,Computer vision,Parametric model,Pattern recognition,Computer science,Feature extraction,Meyer wavelet,Artificial intelligence,Biometrics,Wavelet,Wavelet transform | Conference |
ISBN | Citations | PageRank |
978-1-5386-0552-3 | 0 | 0.34 |
References | Authors | |
10 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kallel, I.K. | 1 | 4 | 3.87 |
| sonda ammar bouhamed | 2 | 19 | 4.07 |
| belhassen akrout | 3 | 23 | 4.14 |