IEICE Technical Committee Submission System
Conference Schedule
Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (Searched in: All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 36  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
(Joint) [detail]
Ehime University of Human Environments The effect of the difference in the shape of the presented characters on the correct answer rate of the reading comprehension question
Yuhi Sezaki, Ai Hagihara, Sayaka Takano, Satoshi Nakamura (Meiji Univ.), Akiyuki Kake (Wacom) HCS2023-65 HIP2023-55
There have been many studies on letter shapes and memorability, and it is clear that letter shapes with low readability ... [more] HCS2023-65 HIP2023-55
PRMU 2021-12-16
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
HIP 2020-12-22
Online Online Gender Estimation Method from Handwritten Characters Based on Deep Neural Network
Koting Wu, Sho Takizawa, Qiu Chen (Kogakuin Univ.) HIP2020-56
Humans can infer the gender of the writer from handwritten characters to a certain extent. In this paper, we propose a m... [more] HIP2020-56
PRMU 2019-12-19
Oita   A Study on the Extraction Method of Handwritten Chinese Character's Structure Using the Simplicial Complex and Simplicial Approximation
Masato Suzuki, Daisuke Kitakoshi (Tokyo KOSEN) PRMU2019-49
We have been investigating a method to extract structural information of handwritten chinese characters, realizing how t... [more] PRMU2019-49
PRMU 2019-10-18
Tokyo   Recovering Dynamic Trajectory from a handwritten character image using a Deep Neural Network
Tsubasa Nakamura, Nguyen Tuan Cuong, Masaki Nakagawa (TUAT) PRMU2019-41
This paper presents a method to recover a dynamic trajectory from a handwritten character image using a deep neural netw... [more] PRMU2019-41
PRMU, BioX 2019-03-17
Tokyo   Generating Handwriting Character Clones by Estimation of Individual Writer's Standard Images and Their Deformation
Yuki Shono, Kazuaki Nakamura, Naoko Nitta, Noboru Babaguchi (Osaka Univ.) BioX2018-30 PRMU2018-134
Shapes of handwritten characters are different depending on individual writers.
At the same time, they are also slightl... [more]
BioX2018-30 PRMU2018-134
PRMU 2018-12-13
Miyagi   Candidate Reduction Method Using Hierarchical Overlapping Clustering and Convolutional Neural Network for Fast Chinese Character Recognition
Soichi Tashima, Hideaki Goto (Tohoku Univ.) PRMU2018-77
Along with the widespread of the mobile devices equipped with cameras, many applications using the camera function have ... [more] PRMU2018-77
PRMU, IBISML, IPSJ-CVIM [detail] 2018-09-20
Fukuoka   A Study of Handwritten Chinese Character Recognition Method Based on Detection of The Curve Endpoints and Quadratic Curve Fitting
Masato Suzuki, Daisuke Kitakoshi (Tokyo KOSEN) PRMU2018-44 IBISML2018-21
The local feature extraction used in general object recognition is one of the useful method to recognize
the handwritte... [more]
PRMU2018-44 IBISML2018-21
PRMU, BioX 2018-03-19
Tokyo   Generating Handwritten Character Clones Based on Shape Model Estimation by Collaborating Filtering
Eiji Miyazaki, Kazuaki Nakamura, Naoko Nitta, Noboru Babaguchi (Osaka Univ.) BioX2017-73 PRMU2017-209
In this paper, we focus on methods for generating clone images of handwritten characters resembling a target writer's ac... [more] BioX2017-73 PRMU2017-209
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2018-02-16
Hokkaido Hokkaido Univ. A Study of Handwritten Chinese Character Recognition Method Based on Feature Points Extraction Using Small Scale Space
Masato Suzuki, Daisuke Kitakoshi (Tokyo Kosen) ITS2017-83 IE2017-115
Recognition method using local feature extraction is one of the famous strategies to general object recognition. By cons... [more] ITS2017-83 IE2017-115
HCS, HIP, HI-SIGCE [detail] 2017-05-16
Okinawa Okinawa Industry Support Center Mojivator: Analysis of Changing Handwriting Skills and Behaviors by Using Averaging Method
Natsumi Kubota, Junki Saito, Satoshi Nakamura, Masaaki Suzuki (Meiji Univ.) HCS2017-23 HIP2017-23
Nowadays, people have an opportunity to communicate with others by using handwriting, and there are a lot of official ap... [more] HCS2017-23 HIP2017-23
PRMU, IPSJ-CVIM, IBISML [detail] 2016-09-05
Toyama   Stroke-by-stroke Order Evaluation of Online Handwritten Kanji Characters using Directional Feature
Kazuhiro Mita, Masaki Nakagawa (Tokyo Univ. of Agri. & Tech.) PRMU2016-54 IBISML2016-9
This paper presents a stroke order evaluation method for online handwritten Kanji characters written on a tablet. Previo... [more] PRMU2016-54 IBISML2016-9
PRMU, SP, WIT, ASJ-H 2016-06-13
Tokyo   Stroke-by-stroke Kanji Stroke Order Evaluation Using Shape Context Feature
Kazuhiro Mita, Masaki Nakagawa (Tokyo Univ. of Agri. & Tech.) PRMU2016-37 SP2016-3 WIT2016-3
Learning of writing Kanji characters of Chinese origin is still one of the important subjects in elementary education. T... [more] PRMU2016-37 SP2016-3 WIT2016-3
WIT, SP, ASJ-H, PRMU 2015-06-18
Niigata   Position-Free On-line Handwritten Text Recognition
Jianjuan Liang, Bilan Zhu (TUAT), Taro Kumagai (Mitsubishi Electric), Masaki Nakagawa (TUAT) PRMU2015-41 SP2015-10 WIT2015-10
The paper presents a method of position-free on-line handwritten text recognition designed to allow a user to overlay ch... [more] PRMU2015-41 SP2015-10 WIT2015-10
PRMU, MI, IE, SIP 2015-05-15
Mie   Segmentation and Classification of the Added Marks for Writer Adaptable Handwritten Hiragana Character Recognition
Isamu Fujii, Hiroharu Kawanaka, Haruhiko Takase, Hisanori Yagami, Shinji Tsuruoka (Mie Univ.) SIP2015-31 IE2015-31 PRMU2015-31 MI2015-31
Handwritten recognition system is used widely for the image captured by a digital camera, an image scanner or a touch pa... [more] SIP2015-31 IE2015-31 PRMU2015-31 MI2015-31
MSS 2014-03-07
Ehime Ehime Univ. An image retrieval system for handwritten Japanese historical documents based on structural information of characters
Yuichiro Iino, Ryo Arakawa, Hiroaki Nagaoka, Mitsuru Nakata, Qi-Wei Ge (Yamaguchi Univ.) MSS2013-87
In this paper, we propose an image retrieval system for handwritten Japanese historical documents.
In this system, ima... [more]
PRMU 2013-03-15
Tokyo   Writing Style-free Aerial Handwritten Character Recognition
Mitsuru Nakai, Hiroshi Kusajima, Takahiro Nagai (Toyama Pref. Univ.) PRMU2012-221
This paper proposed a new aerial handwriting recognition method using 3-dimensinal acceleration sensors, by which we can... [more] PRMU2012-221
(Joint) [detail]
Kyoto   Aerial Handwritten Character Recognition using 2D Acceleration Information and 1D Pen Tilt Information
Yukari Otsubo, Mitsuru Nakai (Toyama Pref. Univ.) PRMU2012-112 MVE2012-77
This paper presents an aerial handwritten character recognitionsystem, in which a three-dimensional accelerometer is use... [more] PRMU2012-112 MVE2012-77
CAS, MSS 2011-11-17
Yamaguchi Univ. of Yamaguchi Improvement and Evaluation of Algorithms for Recognition of Consecutive Handwritten Characters by Feature Graph
Ryuzo Fukuda, Ryo Arakawa, Mitsuru Nakata, Qi-Wei Ge, Makoto Yoshimura (Yamaguchi Univ) CAS2011-71 MSS2011-40
We have proposed the consecutive handwritten character recognition method based on the feature graph. The feature graph ... [more] CAS2011-71 MSS2011-40
PRMU 2011-03-10
Ibaraki   Online Handwritten character recognition by MRF for Lao characters
Latsamy Saysourinhong, Bilan Zhu, Masaki Nakagawa (Tokyo Univ. of Agric. and Tech.) PRMU2010-245
This paper describes on-line recognition of handwritten Lao characters which include consonants, vowels and tone marks, ... [more] PRMU2010-245
 Results 1 - 20 of 36  /  [Next]  
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
Copyright and reproduction : All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)

[Return to Top Page]

[Return to IEICE Web Page]

The Institute of Electronics, Information and Communication Engineers (IEICE), Japan