In this paper, the authors propose a novel segmentation method that uses a coarse to fine approach to extract the iris region.
Iris segmentation is one of the most important steps in an iris recognition system. Its accuracy can directly affect the recognition accuracy. For non-cooperative users, the obtained images often do not have good quality. Under such conditions, the iris may be deformed, out-of-focus, or motion blurred. Sometimes, images do not have a valid iris. It is very challenging to segment the iris efficiently and accurately under a non-cooperative scenario. The preliminary result from the current project shows the proposed method is efficient and accurate.
Downloads
Similar Publications
- Unveiling the Effect of Shape Anisotropy of Plasmonic Tungsten Oxide Nanostructures for Enhanced Electrocatalytic Hydrogen Evolution
- Mineralogy and Geochemistry of Sands from Playa Las Golondrinas, Puerto Rico: An Approach to Establishing a Geogenic Background
- SNP Miniplexes for Individual Identification of Random-Bred Domestic Cats