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Efficient, accurate, and rotation-invariant iris code

 
: Damer, Naser; Terhörst, Philipp; Braun, Andreas; Kuijper, Arjan

:
Postprint urn:nbn:de:0011-n-4592158 (299 KByte PDF)
MD5 Fingerprint: 70ade98edec36d353207585f66035bfb


IEEE Signal Processing Letters 24 (2017), No.8, pp.1233-1237
ISSN: 1070-9908
English
Journal Article, Electronic Publication
Fraunhofer IGD ()
biometric; Iris recognition; feature selection; CRISP; Guiding Theme: Digitized Work; Guiding Theme: Visual Computing as a Service; Research Area: Computer vision (CV); Research Area: Human computer interaction (HCI)

Abstract
The 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.

: http://publica.fraunhofer.de/documents/N-459215.html