Iris synthesis: a reverse subdivision application


Due to renewed interest in security, iris images have become a popular biometric alternative to fingerprints for human identification. However, there exist very few databases on which researchers can test iris recognition technology. We present a novel method to augment existing databases through iris image synthesis. A multiresolution technique known as reverse subdivision is used to capture the necessary characteristics from existing irises, which are then combined to form a new iris image. In order to improve the results, a set of heuristics to classify iris images is proposed. We analyze the performance of these heuristics and provide preliminary results of the iris synthesis method.

Proceedings of the 3rd international conference on Computer graphics and interactive techniques in Australasia and South East Asia (ACM)
Lakin Wecker

Ph.D. Candidate

September 2017 - present

Lakin is a PhD student interested in geometric modeling and optimization.