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| Presentation | 2020-12-22 13:00 Gender Estimation Method from Handwritten Characters Based on Deep Neural Network Koting Wu, Sho Takizawa, Qiu Chen (Kogakuin Univ.)  HIP2020-56 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Humans can infer the gender of the writer from handwritten characters to a certain extent. In this paper, we propose a method for estimating the gender of a writer from Japanese handwritten characters using a deep neural network. We investigate various convolutional neural network architectures as a deep neural network, and the experimental results show that for the same two Japanese characters, the maximum gender estimation accuracy of 92% is obtained for handwritten characters when using VGG-16 network model. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Deep neural network / Handwritten characters / Gender identification / Gender estimation / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 306, HIP2020-56, pp. 15-19, Dec. 2020. | |
| Paper # | HIP2020-56 | |
| Date of Issue | 2020-12-15 (HIP) | |
| 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 | HIP2020-56 |
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| Conference Information | |
| Committee | HIP |
| Conference Date | 2020-12-22 - 2020-12-23 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | HIP |
| Conference Code | 2020-12-HIP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Gender Estimation Method from Handwritten Characters Based on Deep Neural Network |
| Sub Title (in English) | |
| Keyword(1) | Deep neural network |
| Keyword(2) | Handwritten characters |
| Keyword(3) | Gender identification |
| Keyword(4) | Gender estimation |
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| 1st Author's Name | Koting Wu |
| 1st Author's Affiliation | Kogakuin University (Kogakuin Univ.) |
| 2nd Author's Name | Sho Takizawa |
| 2nd Author's Affiliation | Kogakuin University (Kogakuin Univ.) |
| 3rd Author's Name | Qiu Chen |
| 3rd Author's Affiliation | Kogakuin University (Kogakuin Univ.) |
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| Speaker | Author-1 |
| Date Time | 2020-12-22 13:00:00 |
| Presentation Time | 30 minutes |
| Registration for | HIP |
| Paper # | HIP2020-56 |
| Volume (vol) | vol.120 |
| Number (no) | no.306 |
| Page | pp.15-19 |
| #Pages | 5 |
| Date of Issue | 2020-12-15 (HIP) |
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