Efficient, Accurate, and Rotation-Invariant Iris Code

doi:10.1109/LSP.2017.2719282

2017-08-01

DOI：10.1109/LSP.2017.2719282

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摘要

En 中文

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.

Keyword:

Biometrics

iris recognition

rotation-invariance

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期刊

IEEE Signal Processing Magazine

IF:

9.6

论文数:

1.1W

被引数:

1.7W

机构

fraunhofer gesellschaft

学者数:

1.6W

论文数: 1.2W

被引数: 24

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