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Proceedings Paper

Restoring wavefront coded iris image through the optical parameter and regularization filter
Author(s): Yingjiao Li; Yuqing He; Guangqin Feng
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Paper Abstract

Wavefront coding technology can extend the depth of field of the iris imaging system, but the iris image obtained through the system is coded and blurred and can't be used for the recognition algorithm directly. The paper presents a fuzzy iris image restoration method used in the wavefront coding system. After the restoration, the images can be used for the following processing. Firstly, the wavefront coded imaging system is simulated and the optical parameter is analyzed, through the simulation we can get the system's point spread function (PSF). Secondly, using the blurred iris image and PSF to do a blind restoration to estimate a appropriate PSFe. Finally, based on the return value PSFe of PSF, applying the regularization filter on the blurred image. Experimental results show that the proposed method is simple and has fast processing speed. Compared with the traditional restoration algorithms of Wiener filtering and Lucy-Richardson filtering, the recovery image that got through the regularization filtering is the most similar with the original iris image.

Paper Details

Date Published: 29 November 2011
PDF: 8 pages
Proc. SPIE 8200, 2011 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 820009 (29 November 2011); doi: 10.1117/12.907080
Show Author Affiliations
Yingjiao Li, Beijing Institute of Technology (China)
Yuqing He, Beijing Institute of Technology (China)
Guangqin Feng, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 8200:
2011 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology

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