Computer Vision News Computer Vision News 14 It is calculated that 20,000 babies are swapped annually due to misidentification in the world. In addition, 66% of infant abductions occur in hospitals. These statistics are very alarming and this is why newborn safety is a global concern that calls for reliable and accurate identification methods for newborns. Given this extremely urgent motivation, how come it was not done until now? Machine learning and machine vision have mainly worked on face recognition and fingerprints. These previous works cannot provide a solution for newborn identification, because when the baby grows, biometrics change rapidly. Therefore, they are not reliable for our case. Previous study did some sort of longitudinal research on iris recognition and found that iris can be used for recognizing an individual only starting with two years of age to rest of the life. According to previous studies conducted to date, the conclusion was that iris recognition didn't work effectively for babies two years old and younger. SMALL Workshop Best Paper Rasel Ahmed Bhuiyan is a fourth year PhD student at University of Notre Dame, under the supervision of Adam Czajka. Rasel won the Best Paper Award at the CV4Smalls Workshop at WACV 2025. His research focuses on two extreme cases of iris recognition: iris recognition for infants and post-mortem iris recognition. Iris Recognition for Infants
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