Name
Abstract | ||
|---|---|---|
The goal of this article is to describe method for simulation of damage done by psoriasis. Designed method is based on extracting subjects from real images and then including them into synthetic images. Images are damaged by six different settings. Each setting represents different level of disease severity. Results were verified by visual comparison with real images, consultation with medical doctor, quality measurement methods (NFIQ, FiQiVi), and comparison score (VeriFinger). The most severe damage achieved median score of 38 % (from the reference). |
Year | Venue | Keywords |
|---|---|---|
2019 | 2019 International Conference of the Biometrics Special Interest Group (BIOSIG) | synthetic fingerprint,psoriasis,skin diseases,damage simulation,machine learning |
Field | DocType | ISBN |
Computer vision,Visual comparison,Quality measurement,Pattern recognition,Computer science,Fingerprint,Artificial intelligence,Real image,Delegation (computing),Psoriasis | Conference | 978-1-7281-2677-7 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ondrej Kanich | 1 | 1 | 1.37 |
| David Kosták | 2 | 0 | 0.34 |
| Martin Drahansky | 3 | 1 | 2.05 |