Name
Abstract | ||
|---|---|---|
The sclera is the part of the eye surround the iris, it is white and presents blood vessels that can be used for biometric recognition. In this paper, we propose a new method for sclera segmentation in face images. The method is divided into two steps: (1) the eye location and the (2) sclera segmentation. Eyes are located using Color Distance Map (CDM), Histogram of Oriented Gradients (HOG) descriptor and Random Forest (RF). The sclera is segmented by Image Foresting Transform (IFT). The first step has an accuracy of 95.95%. |
Year | Venue | Field |
|---|---|---|
2017 | CIARP | Computer vision,Pattern recognition,Computer science,Segmentation,Histogram of oriented gradients,Artificial intelligence,Sclera,Biometrics,Random forest,Color difference |
DocType | Citations | PageRank |
Conference | 1 | 0.36 |
References | Authors | |
13 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jullyana Fialho Pinheiro | 1 | 1 | 0.36 |
| João Dallyson Sousa de Almeida | 2 | 15 | 4.98 |
| Geraldo Braz Junior | 3 | 76 | 15.10 |
| Anselmo C. Paiva | 4 | 379 | 48.88 |
| Aristofanes C. Silva | 5 | 316 | 36.48 |