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
- Assessment of analytical workflows of gunshot residue evidence and strategies for implementation of advanced technology in crime laboratories
- Exploring Cranial Growth Patterns from Birth to Adulthood for Forensic Research and Practice
- Reporting the value of biological findings given activity level propositions: A discussion of published recommendations