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%.
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CITATION STYLE
Fialho Pinheiro, J., Sousa de Almeida, J. D., Braz Junior, G., Cardoso de Paiva, A., & Corrêa Silva, A. (2018). Sclera segmentation in face images using image foresting transform. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10657 LNCS, pp. 229–236). Springer Verlag. https://doi.org/10.1007/978-3-319-75193-1_28
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