The first ICB* competition on iris recognition
Man Zhang, Jing Liu, Zhenan Sun, Tieniu Tan, Wu Su, Fernando Alonso‐Fernandez, Valérian Nemesin, Nadia Othman, Koichi Noda, Peihua Li, Edmundo Hoyle, Akanksha Joshi · 2014
Iris recognition becomes an important technology in our society. Visual patterns of human iris provide rich texture information for personal identification. However, it is greatly challenging to match intra-class iris images with large variations in unconstrained environments because of noises, illumination variation, heterogeneity and so on. To track current state-of-the-art algorithms in iris recognition, we organized the first ICB* Competition on Iris Recognition in 2013 (or ICIR2013 shortly). In this competition, 8 participants from 6 countries submitted 13 algorithms totally. All the algorithms were trained on a public database (e.g. CASIA-Iris-Thousand [3]) and evaluated on an unpublished database. The testing results in terms of False Non-match Rate (FNMR) when False Match Rate (FMR) is 0.0001 are taken to rank the submitted algorithms.