Iris biometric systems are of interest for security applications. In this respect, iris segmentation has a key role, as it must be fast and accurate. In this paper, we present a new watershed based approach for iris segmentation in color images. The watershed transform is used in two distinct phases of iris segmentation: it is first used to obtain a preliminary segmentation, which constitutes the input to a circle fitting procedure; then, it is used together with the portion of the input image resulting after circle fitting to identify more precisely the pixels actually belonging to the iris. The experimental results show that the suggested approach is effective with respect to both location accuracy and computational complexity.
Using the Watershed Transform for Iris Detection / Maria, Frucci; Michele, Nappi; Riccio, Daniel; Gabriella Sanniti di, Baja. - STAMPA. - 8157:(2013), pp. 269-278. (Intervento presentato al convegno 17th International Conference Image Analysis and Processing tenutosi a Napoli nel 9-13/09/2013) [10.1007/978-3-642-41184-7_28].
Using the Watershed Transform for Iris Detection
RICCIO, Daniel;
2013
Abstract
Iris biometric systems are of interest for security applications. In this respect, iris segmentation has a key role, as it must be fast and accurate. In this paper, we present a new watershed based approach for iris segmentation in color images. The watershed transform is used in two distinct phases of iris segmentation: it is first used to obtain a preliminary segmentation, which constitutes the input to a circle fitting procedure; then, it is used together with the portion of the input image resulting after circle fitting to identify more precisely the pixels actually belonging to the iris. The experimental results show that the suggested approach is effective with respect to both location accuracy and computational complexity.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
