Abstract | ||
---|---|---|
•The paper presents the analysis of results of the MICHE-I competition on iris recognition.•Compared methods work on a dataset captured on mobile devices in visible light.•Segmentation and recognition methods were recombined in all possible ways.•The paper evaluates score-level fusion of recognition algorithms. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1016/j.patcog.2017.08.028 | Pattern Recognition |
Keywords | Field | DocType |
Mobile Iris Recognition,Evaluation,Biometric algorithm fusion | Data science,Computer vision,Interoperability,Segmentation,Mobile device,Operational requirements,Artificial intelligence,Biometrics,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
74 | C | 0031-3203 |
Citations | PageRank | References |
4 | 0.43 | 25 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Maria De Marsico | 1 | 411 | 54.52 |
M. Nappi | 2 | 947 | 85.18 |
Fabio Narducci | 3 | 86 | 14.75 |
Hugo Proença | 4 | 448 | 35.23 |