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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| HIP, HCS (Joint) [detail] |
2023-09-12 10:05 |
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 pp.47-52 |
| 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 |
| HIP | 2020-12-22 13:00 |
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 pp.15-19 |
| 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 |
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| 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 |
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| PRMU, BioX | 2019-03-17 10:15 |
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 pp.7-12 |
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| 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 |
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| 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 |
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| PRMU, BioX | 2018-03-19 16:30 |
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 pp.219-224 |
|
| 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 |
| HCS, HIP, HI-SIGCE [detail] | 2017-05-16 18:25 |
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 pp.157-162 |
| 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 |
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| 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 |
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| 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 |
|
| MSS | 2014-03-07 10:20 |
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] |
MSS2013-87 pp.69-72 |
| 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 |
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| 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 |
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| 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 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 |
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