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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
BioX, SIP, IE, ITE-IST, ITE-ME [detail] |
2023-05-18 13:25 |
Mie |
Sansui Hall, Mie University (Primary: On-site, Secondary: Online) |
[Invited Talk]
NEC's multimodal authentication terminal recognizing face and irises together Ryoma Oami, Toshiyuki Sashihara, Masato Sasaki, Ryuichi Akashi, Yuka Ogino, Yuho Shoji, Takahiro Toizumi, Kazuyuki Sakurai, Atsushi Ito (NEC) SIP2023-2 BioX2023-2 IE2023-2 |
This paper introduces NEC's multimodal authentication terminal that simultaneously captures and authenticates a face and... [more] |
SIP2023-2 BioX2023-2 IE2023-2 pp.2-5 |
IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-16 15:40 |
Okinawa |
Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
Iris Image Quality Assessment with Degradation Scores for Recognition Ryuichi Akashi, Yuho Shoji, Takahiro Toizumi, Atsushi Ito (NEC) IMQ2022-57 IE2022-134 MVE2022-87 |
In this paper, we propose an iris image quality assessment method to quantify the influence of each type of image degrad... [more] |
IMQ2022-57 IE2022-134 MVE2022-87 pp.182-187 |
CNR, BioX |
2023-03-02 11:00 |
Oita |
(Primary: On-site, Secondary: Online) |
A Study on Training Methods for Iris Recognition that Can Control Balance of Learning between Network and Loss Function Rikuto Otsuka (UEC), Yuho Shoji, Yuka Ogino, Takahiro Toizumi (NEC), Masatsugu Ichino (UEC) BioX2022-72 CNR2022-38 |
In this paper, we propose a training method for iris recognition by deep learning that focuses on training weight parame... [more] |
BioX2022-72 CNR2022-38 pp.59-64 |
PRMU |
2022-09-14 10:15 |
Kanagawa |
(Primary: On-site, Secondary: Online) |
Evaluation of Loss Functions for Low-Resolution Iris Recognition Using Deep Learning Rikuto Otsuka, Tsubasa Bora (UEC), Yuho Shoji, Yuka Ogino, Takahiro Toizumi (NEC), Ichino Masatsugu (UEC) PRMU2022-11 |
In this paper, we report the evaluation results of loss functions for low-resolution iris recognition using deep learnin... [more] |
PRMU2022-11 pp.7-12 |
PRMU |
2021-12-16 11:00 |
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 pp.13-18 |
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