Damer, NaserNaserDamerTerhörst, PhilippPhilippTerhörstBraun, AndreasAndreasBraunKuijper, ArjanArjanKuijper2022-03-0520.9.20172017https://publica.fraunhofer.de/handle/publica/24919510.1109/LSP.2017.2719282The large scale of the recently demanded biometric systems has put a pressure on creating a more efficient, accurate, and private biometric solutions. Iris biometrics is one of the most distinctive and widely used biometric characteristics. High-performing iris representations suffer from the curse of rotation inconsistency. This is usually solved by assuming a range of rotational errors and performing a number of comparisons over this range, which results in a high computational effort and limits indexing and template protection. This work presents a generic and parameter-free transformation of binary iris representation into a rotation-invariant space. The goal is to perform accurate and efficient comparison and enable further indexing and template protection deployment. The proposed approach was tested on a database of 10 000 subjects of the ISYN1 iris database generated by CASIA. Besides providing a compact and rotational-invariant representation, the proposed approach reduced the equal error rate by more than 55% and the computational time by a factor of up to 44 compared to the original representation.enbiometricIris recognitionfeature selectionCRISPLead Topic: Digitized WorkLead Topic: Visual Computing as a ServiceResearch Line: Computer vision (CV)Research Line: Human computer interaction (HCI)621journal article