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 |