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
- Rapid sperm lysis and novel screening approach for human male DNA via colorimetric loop-mediated isothermal amplification
- Step toward Roadside Sensing: Noninvasive Detection of a THC Metabolite from the Sweat Content of Fingerprints
- Heuristic pairwise alignment of de Bruijn graphs to facilitate simultaneous transcript discovery in related organisms from RNA-Seq data