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
- Evaluating Cross-reactivity of New Psychoactive Substances (NPS) in Human Whole Blood by Enzyme-linked Immunosorbent Assay (ELISA)
- Enhancing Corporate Crime Enforcement with Machine Learning—A Multidisciplinary Risk Factor Approach
- Studies on the Formation of N-Methylperfluoroalkylnitrile Cations from Perfluoroacylphenethylamines in Electron Ionisation Mass Spectrometry: Unique Marker Ion Fragments in Methamphetamine Analysis