Name
Abstract | ||
|---|---|---|
In this paper, a Gabor filter optimization method based on real-coded genetic algorithm is presented for iris recognition. First, we list Gabor filter parameters and analyzed the validity of the expression for texture features. Then, since Gabor parameters has a great influence in Correct Recognition Rate, we took Gabor kernel parameters as chromosomes and Discriminative Index as fitness to on the CASIA V3 and JLUBR-IRIS for optimization. Moreover, the optimized Gabor filters are adopted to extract features for corresponding iris databases, which can obtain excellent results. © Springer International Publishing 2013. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-319-02961-0_41 | CCBR |
Keywords | Field | DocType |
feature extraction,gabor filters,iris recognition,texture information | Kernel (linear algebra),Iris recognition,Pattern recognition,Computer science,Gabor filter,Feature extraction,Artificial intelligence,Discriminative model,Genetic algorithm | Conference |
Volume | Issue | ISSN |
8232 LNCS | null | 16113349 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fei He | 1 | 3 | 1.48 |
| Yuan-Ning Liu | 2 | 160 | 22.94 |
| Xiaodong Zhu | 3 | 73 | 10.24 |
| Weijie Deng | 4 | 0 | 0.68 |
| Xiaoxu Zhang | 5 | 71 | 3.60 |
| Guang Huo | 6 | 12 | 6.10 |