Name
Abstract | ||
|---|---|---|
This paper proposes a secondary iris recognition based on local features. The application of the energy-orientation feature (EOF) by two-dimensional Gabor filter to the extraction of the iris goes before the first recognition by the threshold of similarity, which sets the whole iris database into two categories-a correctly recognized class and a class to be recognized. Therefore, the former are accepted and the latter are transformed by histogram to achieve an energy-orientation histogram feature (EOHF), which is followed by a second recognition with the chi-square distance. The experiment has proved that the proposed method, because of its higher correct recognition rate, could be designated as the most efficient and effective among its companion studies in iris recognition algorithms. (C) 2015 SPIE and IS&T |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1117/1.JEI.24.1.013033 | JOURNAL OF ELECTRONIC IMAGING |
Keywords | Field | DocType |
iris recognition,feature extraction,two-dimensional Gabor filter,energy-orientation feature | Iris recognition,Histogram,Computer vision,Pattern recognition,Computer science,Gabor filter,Artificial intelligence | Journal |
Volume | Issue | ISSN |
24 | 1 | 1017-9909 |
Citations | PageRank | References |
4 | 0.44 | 16 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guang Huo | 1 | 12 | 6.10 |
| Yuan-Ning Liu | 2 | 160 | 22.94 |
| Xiaodong Zhu | 3 | 73 | 10.24 |
| Hongxing Dong | 4 | 5 | 1.18 |