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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-13 10:20 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Melogy: A Method of Presenting Melody by the Distance between the Model and the Trail in Handwriting Practice Reo Hatogai, Sayuri Matsuda, Kento Watanabe, Satoshi Nakamura (Meiji Univ.), akiyuki kake (Wacom Co., Ltd.)  IMQ2023-14 IE2023-69 MVE2023-43 |
In Japanese handwriting practice, it is not unusual for students to develop a dislike of handwriting because of the bori... [more] | IMQ2023-14 IE2023-69 MVE2023-43 pp.7-12 |
| WIT, HI-SIGACI | 2023-12-07 13:00 |
Tokyo | AIST Tokyo Waterfront (TBD) | Development of a signature field guidance system for handwriting support of visually impaired individuals using image analysis Takuma Souji, Hirokazu Seki (CIT) WIT2023-31 |
In this study, we developed a signature field guidance system for the purpose of writing assistance for visually impaire... [more] | WIT2023-31 pp.37-40 |
| HIP, HCS, HI-SIGCOASTER [detail] | 2023-05-16 15:05 |
Okinawa | Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Melogy: A Method to Encourage Handwriting Practice by Playing a Melody Sayuri Matsuda, Kento Watanabe, Kouta Yokoyama, Yukino Aoki, Tohya Aoki, Satoshi Nakamura (Meiji Univ.), Akiyuki Kake, Kizuku Ishimaru (Wacom Co., Ltd.) HCS2023-37 HIP2023-37 |
The most common way to learn handwriting characters is to handwrite them over and over again. However, this repetitive p... [more] | HCS2023-37 HIP2023-37 pp.182-187 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 11:15 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
A trial of writer identification using a deep neural network trained by handwriting of multiple character types
-- A study using a handwriting database of 401 writers -- Yoshinori Akao (NRIPS) PRMU2022-72 IBISML2022-79 |
We attempted to identify the writer by learning a deep network (GoogLeNet) using a handwriting database of 548 kanji cha... [more] | PRMU2022-72 IBISML2022-79 pp.76-81 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 17:00 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
A Semi-Supervised Learning Framework for Handwritten Text Recognition using Mixed Augmentations and Scheduled Pseudo-Label Loss Masayuki Honda, Hung Tuan Nguyen, Cuong Tuan Nguyen (TUAT), Cong Kha Nguyen, Ryosuke Odate, Takashi Kanemaru (Hitachi Ltd.), Masaki Nakagawa (TUAT) PRMU2022-97 IBISML2022-104 |
We propose Incremental Teacher Model, a semi-supervised learning (SSL) framework for handwriting text recognition. The f... [more] | PRMU2022-97 IBISML2022-104 pp.199-204 |
| PRMU | 2022-12-16 10:30 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
Digitization of education workbooks and collection of handwritten answers toward their automatic scoring Tomo Asakura (Wacom), Nguyen Tuan Hung, Nguyen Tuan Cuong (Tokyo Univ. of Agri. and Tech.), Hiroshi Miyazawa, Yoichi Tsuchida, Takahiro Yamamoto, Masamitsu Ito, Toshihiko Horie (Wacom), Ikuko Shimizu, Masaki Nakagawa (Tokyo Univ. of Agri. and Tech.) PRMU2022-45 |
This paper reports on the display of workbooks on electronic paper, collection of digital-ink answers, and description o... [more] | PRMU2022-45 pp.70-75 |
| ET | 2022-09-17 13:25 |
Hiroshima | Hiroshima University and Online (Primary: On-site, Secondary: Online) |
Method to identify excess or deficiency strokes in the automatic handwriting input Kanji scoring system Nobuhiko Ido (Gifu Kyoritsu Univ.) ET2022-15 |
I have been developing a system for automatically scoring handwritten input kanji characters, and is using it practicall... [more] | ET2022-15 pp.28-35 |
| PRMU, IPSJ-CVIM | 2022-03-11 10:45 |
Online | Online | Self-supervised Contrastive Learning Using Triplet Loss for Offline Recognition of Handwritten Chinese Text lines Trung Tan Ngo, Hung Tuan Nguyen, Masaki Nakagawa (TUAT) PRMU2021-78 |
In this paper, we propose a framework for contrastive learning of visual representations using online triplet loss and a... [more] | PRMU2021-78 pp.115-120 |
| ET | 2022-01-22 11:30 |
Online | Online | Design of CBT with Handwriting Input for Online LMS Ryo Yajima (TUAT), Fumiko Yasuno (NIER), Masaki Nakagawa, Ikuko Shimizu (TUAT) ET2021-45 |
Conventional Computer Based Testing (CBT) systems mainly support multiple-choice and short-answer questions inputted wit... [more] | ET2021-45 pp.13-18 |
| PRMU | 2021-12-16 14:55 |
Online | Online | Fully automatic scoring of handwritten descriptive answers in Japanese language tests Hung Tuan Nguyen, Cuong Tuan Nguyen (TUAT), Haruki Oka (UTokyo), Tsunenori Ishioka (The National Center for University Entrance Examinations), Masaki Nakagawa (TUAT) PRMU2021-32 |
This paper presents an experiment of automatically scoring handwritten descriptive answers in the trial tests for the ne... [more] | PRMU2021-32 pp.45-50 |
| PRMU | 2021-10-09 10:30 |
Online | Online | Handwriting authentication by binary classification with CNN using various nouns characters Kaku Daichi, Kubota Akira (Chuo University) PRMU2021-20 |
Due to measures against coronavirus infectious diseases, procedures and the like are rapidly becoming online, and the sh... [more] | PRMU2021-20 pp.22-27 |
| IE, SIP, BioX, ITE-IST, ITE-ME [detail] | 2021-06-04 10:30 |
Online | Online | Handwriting Verification Combining Minutiae Matching and DP Matching Nobuyuki Nishiuchi, Yuichi Yoshida (TMU), Piotr Szymkowski, Khalid Saeed (BUT) SIP2021-8 BioX2021-8 IE2021-8 |
In recent years, the use of pen tablets to sign has been increasing, and it is thought that the need for handwriting ver... [more] | SIP2021-8 BioX2021-8 IE2021-8 pp.36-40 |
| EMM | 2021-03-04 15:00 |
Online | Online | [Poster Presentation]
A Separation Method for Handwritings and Printed Texts on Documents as a Preprocessing Filter for OCR Ryotaro Sakurai, Hirohisa Hioki (Kyoto Univ.) EMM2020-73 |
In applying OCR to documents with handwritings, printed texts and handwritings have to be separated from each other. We ... [more] | EMM2020-73 pp.34-39 |
| NC, MBE (Joint) |
2021-03-05 13:50 |
Online | Online | DCSOM with Ensemble Learning Classifier Akito Takahashi, Yukari Yamauchi (Nihon Univ) NC2020-71 |
Deep Convolutional Self-Organizing Map (DCSOM) which extracts visual features from images by using self-organizing maps ... [more] | NC2020-71 pp.163-168 |
| MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 15:45 |
Online | Online | A Proposal of Self-Organizing Map Based on Attribute Information with Attenuate Rate Tetsuya Sato, Yukari Yamauti (Nihon Univ.) NC2020-23 |
Self-organizing Maps(SOM) is a simple algorithm, has excellent clustering capabilities, and can create a nonlinear model... [more] | NC2020-23 pp.77-82 |
| PRMU, IPSJ-CVIM | 2020-05-15 09:50 |
Online | Online | Online handwriting recognition based on LSTM-Autoencoder Junji Sakurai, Jun Rokui (Univ of Shizuoka) PRMU2020-6 |
Correct data and incorrect data are required for online handwriting recognition. However, It is difficult to prepare eno... [more] | PRMU2020-6 pp.29-34 |
| PRMU, IPSJ-CVIM | 2020-05-15 10:05 |
Online | Online | PRMU2020-7 |
Handwriting prediction is a difficult task because it has uncertainty due to class ambiguity, in addition to chaotic beh... [more] | PRMU2020-7 pp.35-38 |
| BioX, CNR | 2020-03-05 14:40 |
Tokyo | (Cancelled but technical report was issued) |
A Proposal of Signature Verification Using Minutia Yuichi Yoshida, Nobuyuki Nishiuchi (TMU), Piotr Szymkowski, Khalid Saeed (BTU) BioX2019-74 CNR2019-57 |
Currently, the handwriting verification has been attracting attention in Japan with the progress of internationalization... [more] | BioX2019-74 CNR2019-57 pp.71-74 |
| NC, MBE (Joint) |
2020-03-05 13:50 |
Tokyo | University of Electro Communications (Cancelled but technical report was issued) |
A Proposal of Self-Organizing Maps Based on Learning with Attribute Information Tetsuya Sato, Yukari Yamauti (Nihon Univ.) NC2019-96 |
Self-organizing maps(SOM) is a simple algorithm, and has excellent clustering capabilities. However, since SOM performs ... [more] | NC2019-96 pp.119-124 |
| ET | 2019-10-19 11:30 |
Okinawa | University of the Ryukyus | A discussion about effect of handwriting notes on flipped classrooms which is performed by programming exercise Jun Murayama, Toyohisa Kaneko (C.I.T) ET2019-37 |
(To be available after the conference date) [more] | ET2019-37 pp.27-31 |
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