Name
Abstract | ||
|---|---|---|
An effective image evaluation algorithm is vital for iris recognition system. This paper proposes a coarse-to-fine quality evaluation method to iris image. Five criterions are adopted in this paper, which are variance, gradient, edge strength, fuzzy entropy, information entropy, for iris image coarse evaluation. In fine quality evaluation phase, which mainly focus on evaluation of spatial location and effective regional. The experimental results show that our proposed method are able to meet the need of practical iris recognition system. © Springer International Publishing 2013. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-319-02961-0_44 | CCBR |
Keywords | Field | DocType |
biometrics,coarse-to-fine method,iris image quality evaluation | Iris recognition,Pattern recognition,Computer science,Image quality,Fuzzy entropy,Artificial intelligence,Biometrics,Entropy (information theory),Edge strength | Conference |
Volume | Issue | ISSN |
8232 LNCS | null | 16113349 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ying Chen | 1 | 0 | 0.34 |
| Yuan-Ning Liu | 2 | 160 | 22.94 |
| Xiaodong Zhu | 3 | 73 | 10.24 |
| Xiaoxu Zhang | 4 | 71 | 3.60 |
| Haiying Xu | 5 | 0 | 0.68 |
| Guang Huo | 6 | 12 | 6.10 |
| Ning Deng | 7 | 10 | 3.54 |