Iris recognition using cross-spectral comparison
Jennifer Webb, Delores M. Etter, Vianka Barboza, Elena Sharp · 2016
The SMU Biometrics Engineering Research Group recently completed a four-year data collection project that collected iris images from a large number of subjects with LED illumination at different wavelengths ranging from 405 nanometers to 1550 nanometers [1]. This dataset contains largely high quality images, and all images with any quality issues are marked. For this project, we used only good quality images along with government-provided segmentation and template algorithms to examine how images taken with different illumination compare with each other.