International Journals of Advanced Information Science and Technology (IJAIST)
This paper presents a fusion method for iris authentication system where a set of iris images of a given eye are fused to generate a final template by forming a weight mask template using the most consistent iris feature data. There are situations, where multiple iris images are to be considered for authentication depending on the position and motion of a human eye during input session. Templates are generated for each iris image and stored in the database for authentication. Successful iris authentication depends on how similar the stored template in the database and the final fused template. This similarity score will be indicating the degree of similarity between a pair of biometric template data under consideration.