Rotation-Invariant Iris Recognition Method Based on Zernike Moments (Zernike 모멘트 기반의 회전 불변 홍채 인식)

최창수; Seo Jeong-Man (서정만); Jun Byoung Min (전병민)

Rotation-Invariant Iris Recognition Method Based on Zernike Moments

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2012, 17(2), pp.31-40
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science

최창수 ¹, Seo Jeong-Man ², Jun Byoung Min ¹

¹충북대학교
²한국재활복지대학

Accredited

ABSTRACT

Iris recognition is a biometric technology which can identify a person using the iris pattern. It is important for the iris recognition system to extract the feature which is invariant to changes in iris patterns. Those changes can be occurred by the influence of lights, changes in the size of the pupil, and head tilting. In this paper, we propose a novel method based on Zernike Moment which is robust to rotations of iris patterns. we utilized a selection of Zernike moments for the fast and effective recognition by selecting global optimum moments and local optimum moments for optimal matching of each iris class. The proposed method enables high-speed feature extraction and feature comparison because it requires no additional processing to obtain the rotation invariance, and shows comparable performance to the well-known previous methods.

KEYWORDS

Biometrics, Iris recognition, Zernike Moment, Iris rotation invariance

Citation status

* References for papers published after 2023 are currently being built.

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