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 37  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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 2019-12-19
11:15
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
pp.17-21
PRMU 2019-10-18
16:15
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
pp.53-58
PRMU 2018-12-13
10:30
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
pp.13-18
PRMU, IBISML, IPSJ-CVIM [detail] 2018-09-20
09:50
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
pp.55-60
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2018-02-16
11:30
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
pp.257-260
PRMU, IPSJ-CVIM, IBISML [detail] 2016-09-05
09:00
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
pp.1-5
PRMU, SP, WIT, ASJ-H 2016-06-13
10:00
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
pp.13-18
PRMU, CNR 2016-02-22
11:30
Fukuoka   [Poster Presentation] Investigation of Ridge Width and Intensity Shape in Ridge Features for Handwritten Character Recognition
Shu Hasegawa, Michitaka Suzuki, Arata Tsukamoto, Akiyoshi Itoh (Nihon Univ) PRMU2015-153 CNR2015-54
The ridge feature has been reported to be effective for handwritten character recognition. The ridge feature intensity i... [more] PRMU2015-153 CNR2015-54
pp.115-120
WIT, SP, ASJ-H, PRMU 2015-06-18
14:00
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
pp.53-58
PRMU, MI, IE, SIP 2015-05-15
15:40
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
pp.167-171
BioX
(2nd)
2013-05-24
17:40
Toyama Toyama Prefectural University [Poster Presentation] A Study on Aerial Handwritten Character Recognition and Writer Identification -- Fourier Descriptor-based Approach --
Taiki Yoshida, Yukari Otsubo, Mitsuru Nakai (Toyama Pref. Univ.)
This paper focuses on aerial handwriting interface and describes effective features for character recognition and writer... [more]
BioX
(2nd)
2013-05-24
17:40
Toyama Toyama Prefectural University [Poster Presentation] A Study on Aerial Handwritten Character Recognition and Writer Identification -- Acceleration Feature-based Approach --
Yukari Otsubo, Taiki Yoshida, Mitsuru Nakai (Toyama Pref. Univ.)
This paper focuses on aerial handwriting interface and describes effective features for handwritten character recognitio... [more]
PRMU 2013-03-15
16:00
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
pp.243-248
PRMU, MVE, IPSJ-CVIM
(Joint) [detail]
2013-01-24
11:40
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
pp.263-268
CAS, MSS 2011-11-17
16:05
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
pp.41-46
PRMU 2011-03-10
10:00
Ibaraki   A Text Search Method based on Directional Feature Matching
Pasitthideth Luangvilay, Bilan Zhu, Masaki Nakagawa (Tokyo Univ. of Agr and Tech.) PRMU2010-239
In this paper, we describe a method of retrieving online handwritten text by directional feature matching. Although text... [more] PRMU2010-239
pp.13-17
PRMU 2011-03-10
11:10
Ibaraki   Simultaneous Optimization of Context Clustering and GMM for Offline Handwritten Word Recognition Using HMM
Tomoyuki Hamamura (Toshiba/Univ. of Tokyo), Bunpei Irie (Toshiba), Takuya Nishimoto, Nobutaka Ono, Shigeki Sagayama (Univ. of Tokyo) PRMU2010-244
Context-dependent HMM is commonly used in speech recognition. The model can be realized by two ways: context clustering ... [more] PRMU2010-244
pp.43-48
PRMU 2011-03-10
11:40
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
pp.49-54
NC, MBE
(Joint)
2011-03-09
11:30
Tokyo Tamagawa University Recognition of handwritten sentences using CombNET-III with word class information
Yuichi Higa, Mauricio Kugler, Susumu Kuroyanagi, Akira Iwata (NIT) NC2010-190
The CombNET-III large scale pattern recognition method has been successfully applied to handwritten Kanji and Hiragana r... [more] NC2010-190
pp.373-378
 Results 1 - 20 of 37  /  [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