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• W1826491977 abstract "Abstract In this paper, we developed the adaptive fast iris capture device, and proposed a new online iris image quality assessment algorithm which combines pupil coarse location. On ARM embedded system of iris image capture, iris quality is real-time assessment, combined with feedback control to adjust light source, focal length, pupil contraction LED, etc. It does not require the user actively move to cooperate with the device during iris capture. The qualified iris image is transmitted through the USB interface to the host computer. Finally, we establish the iris library (has captured more than 1000 iris samples), and the capture device and iris quality assessment algorithm has been tested. The average capture can be completed within 1 s. The test of iris recognition proved that the iris capture device and iris image quality assessment algorithm is valid." @default.
• W1826491977 created "2016-06-24" @default.
• W1826491977 creator A5030633869 @default.
• W1826491977 creator A5034570795 @default.
• W1826491977 date "2015-12-01" @default.
• W1826491977 modified "2023-09-24" @default.
• W1826491977 title "The research on adaptive fast iris capture and online iris image quality assessment algorithm" @default.
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• W1826491977 doi "https://doi.org/10.1016/j.ijleo.2015.08.108" @default.
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