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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ICSS | 2023-11-17 15:25 |
Ishikawa | IT Business Plaza Musashi and Online (Primary: On-site, Secondary: Online) |
Secure Iris Recognition with Linear Hashing Mitsuhide Tenryaku (Chiba Univ.)  ICSS2023-68 |
Biometrics represents one of the most robust methods for securing individual information. Due to its high accuracy, the ... [more] | ICSS2023-68 pp.120-125 |
| BioX | 2023-10-12 17:15 |
Okinawa | Nobumoto Ohama Memorial Hall | A Study of Multibiometrics Considering Properties of Biometric Traits Taito Tonosaki, Koichi Ito, Takafumi Aoki (Tohoku Univ.), Tetsushi Ohki, Masakatsu Nishigaki (Shizuoka Univ.) BioX2023-64 |
The performance of biometric authentication can be improved by combining multiple biometric traits, which is known as mu... [more] | BioX2023-64 pp.32-36 |
| EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] | 2023-07-25 09:00 |
Hokkaido | Hokkaido Jichiro Kaikan | CNN-Based Iris Recognition Using Multi-spectral Iris Images Ryosuke Kuroda, Tetsuya Honda, Hironobu Takano (Toyama Prefectural Univ.) ISEC2023-36 SITE2023-30 BioX2023-39 HWS2023-36 ICSS2023-33 EMM2023-36 |
Iris recognition using a near-infrared camera is generally known as a biometric authentication method with high accuracy... [more] | ISEC2023-36 SITE2023-30 BioX2023-39 HWS2023-36 ICSS2023-33 EMM2023-36 pp.147-151 |
| MVE, IPSJ-HCI, IPSJ-EC, VRSJ, ITE-HI, HI-SIG-DeMO | 2023-06-01 14:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
relationship between the difficulty of binocular fusion and limitation to the observing iris size in stereo-parallax display Daiki Nokura, Ryugo Kijima (Gifu Univ.) MVE2023-10 |
Two functions in human eye, the vergence and the accommodation are linked together in natural environment. Stereoscopic ... [more] | MVE2023-10 pp.51-56 |
| 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 |
| BioX | 2022-10-03 14:30 |
Okinawa | A Study of Region-Based Iris Recognition Using Convolutional Neural Network Shokei Kawakami, Hiroya Kawai, Koichi Ito, Takafumi Aoki (Tohoku Univ.), Yoshiko Yasumura, Masakazu Fujio, Yosuke Kaga, Kenta Takahashi (Hitachi) BioX2022-57 |
The iris, the ring-shaped area between the pupil and the sclera of the eye, has a unique pattern that can be used to ide... [more] | BioX2022-57 pp.13-18 |
|
| 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 |
| CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-10 12:10 |
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 pp.167-170 |
| NLP | 2021-12-17 13:55 |
Oita | J:COM Horuto Hall OITA | Analysis of interconnected cardiac pacemaker cells
-- Focusing on the Na channel -- Naoki Ushiroda, Shinji Doi (Kyoto Univ) NLP2021-50 |
The contraction and relaxation movements of the heart are controlled by electrical signals (action potentials) generated... [more] | NLP2021-50 pp.32-37 |
| 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 |
| MI, MICT [detail] | 2021-11-05 12:45 |
Online | Online | [Invited Talk]
Iris Authentication using Higher-Order Spectral Features Keisuke Kameyama (Univ. Tsukuba) MICT2021-35 MI2021-33 |
This report summarizes the works on the use of higher-order spectral (HOS) features for iris authentication. Initially, ... [more] | MICT2021-35 MI2021-33 pp.31-36 |
| PRMU | 2021-08-26 16:00 |
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 pp.42-47 |
| SITE, ISEC, HWS, EMM, BioX, IPSJ-CSEC, IPSJ-SPT, ICSS [detail] | 2020-07-20 10:50 |
Online | Online | Development of Feature Extractor for Visible Light Iris Recognition Using Deep Learning Tetsuya Honda, Hironobu Takano (Toyama Pref. Univ.) ISEC2020-16 SITE2020-13 BioX2020-19 HWS2020-9 ICSS2020-3 EMM2020-13 |
Biometric authentication is superior to other personal authentication methods in terms of security against theft and co... [more] |
ISEC2020-16 SITE2020-13 BioX2020-19 HWS2020-9 ICSS2020-3 EMM2020-13 pp.15-19 |
| BioX | 2019-10-03 13:55 |
Okinawa | Recognition feature prediction from low-resolution iris images using CNN Ryo Watanabe, Keisuke Kameyama (Univ. of Tsukuba) BioX2019-55 |
In iris authentication, Daugman's method employing Gabor features is widely supported. However, the method's performance... [more] | BioX2019-55 pp.5-10 |
|
| EMT, IEE-EMT | 2018-11-16 13:00 |
Tottori | Kaike Grand Hotel Tensui(Yonago, Tottori) | Numerical Calculation of the Periodic Waveguide by Thick Conductor Irises Using the FDTD method Chihiro Osawa, Toshihiko Shibazaki (Tokyo Metro. College of Industrial Tech.), Teruhiro Kinoshita (Tokyo Polytech. Univ.) EMT2018-56 |
In the past, we obtained the k − β diagram applying FDTD method by Floquet’s theorem at the periodic structure and the c... [more] | EMT2018-56 pp.95-99 |
| SDM, EID | 2017-12-22 11:30 |
Kyoto | Kyoto University | Ultra-high power transistor and thyristor consisting of Si solar cell and LED matrix Kensho Okamoto (Opto Device Lab.) |
It is known that classical silicon bipolar transistors, i.e. Si junction transistors, consist of Si layer structure of P... [more] | |
| MBE, BioX | 2017-07-29 13:25 |
Tokushima | Tokushima University | Personal Authentication Using Iris Images Captured Under Visible Light Condition Kouki Hongo, Hironobu Takano, Kiyomi Nakamura (Toyama Prefectural Univ.) BioX2017-16 MBE2017-25 |
In this study, we proposed the personal authentication method using an iris image captured under the visible light envir... [more] | BioX2017-16 MBE2017-25 pp.37-41 |
| MBE, BioX, NC | 2016-10-22 17:45 |
Osaka | Osaka Electro-Communication University | Iris Authentication using Local Spectral Features and their Relational Operations Miharu Aizawa, Keisuke Kameyama (Univ. Tsukuba) BioX2016-32 MBE2016-46 NC2016-31 |
Recently, methods of personal authentication using biometric features have been attracting attention. Daugman's pioneer... [more] | BioX2016-32 MBE2016-46 NC2016-31 pp.83-88 |
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