With iris recognition gaining support as one of the most accurate means of human identification, its use is expanding globally. The number of researchers developing algorithms for iris recognition is increasing, and more iris image databases are available for their research. Developing algorithms that work effectively over a wide range of conditions requires a large assortment of iris images captured under varying and extreme conditions. This means that the size of the databases from which to conduct research is increasing. (Publisher abstract provided)
Downloads
Similar Publications
- Selective Near-Infrared Blood Detection Driven by Ionic Liquid-Dye-Albumin Nanointeractions
- The Daunting Task of Strengthening Medical Examiner and Coroner Investigations Across Hundreds of Jurisdictions
- Evaluating the Robustness and Ruggedness of a Statistical Model for Comparison of Mass Spectral Data for Seized Drug Identification