Multimodal database of newborns for biometric recognition

Abstract

Missing, swapping, mixing, and illegal adoption of newborns is a global challenge and research done to solve this issue is minimal and least reported in the literature. To the best of our knowledge there is no multimodal database of newborns is available in public domain to test the algorithms for their identification. An attempt has been made to prepare a multimodal database of newborns to help the researchers to test their different algorithms for the recognition accuracy. The database includes physiological characteristics like face, ear, headprint and soft biometrics data like gender, height, weight and blood group of 280 newborns. With all these identity characteristics this database may be useful for authenticating the newborns using unimodal and multimodal biometric systems development for newborn.