Chithraranjan CDisanayaka DVA202120212021Disanayaka, D.V.A. (2021). Pet animal identification and verification using ear vein biometrics [Master's theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.uom.lk/handle/123/20768http://dl.lib.uom.lk/handle/123/20768With the current technological advances in almost all the fields across the world, humankind has never been more connected and affiliated to the global society. Part of this advancement has led to transpire a number of social issues that was obscured from our view in the history. Along with racial, gender, and religious issues that came to light, animal wellbeing is also being discussed hugely and improved rapidly in the past couple of years. This research is intended to provide a novel approach to tackle two issues the society have related to animal wellbeing. Namely, pet insurance fraud and pet theft. Both of these problems arise due to the fact that there is no solid and well standardized method to identify and validate the identity of pet animals. Almost all the situations that a pet’s identity needs to be validated, the owner’s statement alone is considered as confirmation. This not only is invalid; but also, it has led to a huge number of insurance fraud and also theft. We provide a method to capture and validate the identity of any animal using ear vein imaging biometrics. Due to the fact that vein patters of any individual are unique; and the ear vein capturing method can be extremely simple and fast, the expected solution will provide a versatile and practical solution to the aforementioned problems.enBIOMETRICSMACHINE LEARNINGEAR VEIN-BASED BIOMETRICSPET ANIMALS - ResearchCOMPUTER SCIENCE & ENGINEERING -DissertationINFORMATION TECHNOLOGY -DissertationThesis-AbstractEngineeringMSc in Computer Science and EngineeringDepartment of Computer Science & EngineeringTH4592