Paper
6 June 2013 Optimization of phase mask-based iris imaging system through the optical characteristics
Yu-qing He, Jia-qi Li, Jing Pan, Ying-jiao Li
Author Affiliations +
Abstract
Iris recognition is the most reliable method in personal identification. However, the current fixed-focus iris imaging system has small depth of field (DOF), which limits the wide application of the iris recognition system. This paper presents the design method and optimization of a phase mask based iris imaging system. Through wavefront coding, it can extend the DOF and enhance the convenience of iris image acquisition. Through analyzing the modulation transfer function and optical parameters of the cubic phase mask, we can get the wavefront coding iris imaging system’s optimal parameter and it’s structure. Experimental results show that the cubic phase mask based iris imaging system has larger DOF and better imaging performance.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yu-qing He, Jia-qi Li, Jing Pan, and Ying-jiao Li "Optimization of phase mask-based iris imaging system through the optical characteristics", Proc. SPIE 8711, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense XII, 871107 (6 June 2013); https://doi.org/10.1117/12.2015790
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Imaging systems

Iris recognition

Modulation transfer functions

Wavefronts

Iris

Phase shift keying

Image acquisition

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