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Committee Date Time Place Paper Title / Authors Abstract Paper #
(Joint) [detail]
Online Online (Zoom) High Speed Eye detector for Iris Recognition
Yuka Ogino, Takahiro Toizumi, Masato Tsukada (NEC) IMQ2021-42 IE2021-104 MVE2021-71
In the imaging system for iris recognition, it is necessary to crop the right eye and the left eye for input to the iris... [more] IMQ2021-42 IE2021-104 MVE2021-71
PRMU 2021-12-16
Online Online Low-Resolution Iris Recognition with Image Super-Resolution for arbitrary magnification
Tsubasa Bora (UEC), Takahiro Toizumi, Yuho Shoji, Yuka Ogino, Masato Tsukada (NEC), Masatsugu Ichino (UEC) PRMU2021-26
A low-resolution iris image reduces iris recognition accuracy. Some conventional researches tackle low-resolution iris r... [more] PRMU2021-26
PRMU 2021-08-26
Online Online A Study of Low-Resolution Iris Biometrics using Single Image Super-Resolution
Tsubasa Bora, Daisuke Uenoyama (UEC), Takahiro Toizumi, Yuka Ogino, Masato Tsukada (NEC), Masatsugu Ichino (UEC) PRMU2021-14
It requires a high-quality iris image in general, which means that subject must look into the camera, which is highly in... [more] PRMU2021-14
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