Paper Abstract and Keywords |
Presentation |
2019-10-18 16:15
Recovering Dynamic Trajectory from a handwritten character image using a Deep Neural Network Tsubasa Nakamura, Nguyen Tuan Cuong, Masaki Nakagawa (TUAT) PRMU2019-41 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper presents a method to recover a dynamic trajectory from a handwritten character image using a deep neural network and consider whether the dynamic trajectory is useful for handwritten character recognition. Recognition rate of off-line handwritten characters is lower than that of on-line handwritten characters because off-line character patterns are recognized only by static information from their two-dimensional images. Therefore, the recognition rate of off-line character patterns could be improved if their trajectories were recovered from their images. Moreover, the trajectory recovery may help archaeologists decode degraded character patterns on historical documents. We recover the trajectory by an Encoder-Decoder model with the attention mechanism. In this paper, we evaluate our trajectory recovery qualitatively as well as quantitatively by combining online recognition of the recovered dynamic trajectories with offline recognition of the original character images. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
offline handwritten character pattern / trajectory recevery / deep neural network / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 235, PRMU2019-41, pp. 53-58, Oct. 2019. |
Paper # |
PRMU2019-41 |
Date of Issue |
2019-10-11 (PRMU) |
ISSN |
Online edition: ISSN 2432-6380 |
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) |
Download PDF |
PRMU2019-41 |
Conference Information |
Committee |
PRMU |
Conference Date |
2019-10-18 - 2019-10-19 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
|
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
|
Paper Information |
Registration To |
PRMU |
Conference Code |
2019-10-PRMU |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Recovering Dynamic Trajectory from a handwritten character image using a Deep Neural Network |
Sub Title (in English) |
|
Keyword(1) |
offline handwritten character pattern |
Keyword(2) |
trajectory recevery |
Keyword(3) |
deep neural network |
Keyword(4) |
|
Keyword(5) |
|
Keyword(6) |
|
Keyword(7) |
|
Keyword(8) |
|
1st Author's Name |
Tsubasa Nakamura |
1st Author's Affiliation |
Tokyo University of Agriculture and Technology (TUAT) |
2nd Author's Name |
Nguyen Tuan Cuong |
2nd Author's Affiliation |
Tokyo University of Agriculture and Technology (TUAT) |
3rd Author's Name |
Masaki Nakagawa |
3rd Author's Affiliation |
Tokyo University of Agriculture and Technology (TUAT) |
4th Author's Name |
|
4th Author's Affiliation |
() |
5th Author's Name |
|
5th Author's Affiliation |
() |
6th Author's Name |
|
6th Author's Affiliation |
() |
7th Author's Name |
|
7th Author's Affiliation |
() |
8th Author's Name |
|
8th Author's Affiliation |
() |
9th Author's Name |
|
9th Author's Affiliation |
() |
10th Author's Name |
|
10th Author's Affiliation |
() |
11th Author's Name |
|
11th Author's Affiliation |
() |
12th Author's Name |
|
12th Author's Affiliation |
() |
13th Author's Name |
|
13th Author's Affiliation |
() |
14th Author's Name |
|
14th Author's Affiliation |
() |
15th Author's Name |
|
15th Author's Affiliation |
() |
16th Author's Name |
|
16th Author's Affiliation |
() |
17th Author's Name |
|
17th Author's Affiliation |
() |
18th Author's Name |
|
18th Author's Affiliation |
() |
19th Author's Name |
|
19th Author's Affiliation |
() |
20th Author's Name |
|
20th Author's Affiliation |
() |
Speaker |
Author-1 |
Date Time |
2019-10-18 16:15:00 |
Presentation Time |
15 minutes |
Registration for |
PRMU |
Paper # |
PRMU2019-41 |
Volume (vol) |
vol.119 |
Number (no) |
no.235 |
Page |
pp.53-58 |
#Pages |
6 |
Date of Issue |
2019-10-11 (PRMU) |
|