Abstract
In this paper, we present a new iris detection method based on the use of watershed segmentation. The watershed transform is used for both pupil and iris detection, in combination with image quantization, aimed at reducing the number of gray levels, and image thresholding, aimed at obtaining a tentative discrimination between foreground and background. The method has been tested on the CASIA-Iris-Interval Image database.
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CITATION STYLE
Ferone, A., Frucci, M., Petrosino, A., & di Baja, G. S. (2014). Iris detection through watershed segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8897, pp. 57–65). Springer Verlag. https://doi.org/10.1007/978-3-319-13386-7_5
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