| Presentation | 2023-03-02 A trial of writer identification using a deep neural network trained by handwriting of multiple character types Yoshinori Akao, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We attempted to identify the writer by learning a deep network (GoogLeNet) using a handwriting database of 548 kanji characters (401 participants, 5 times repetitions) as a sample. The output of the network's activation function enabled us to identify the writer even when a character type not included in the training set. The deep network after training was considered to capture the characteristics of the writer's handwriting that transcended the character types. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | handwriting / writer identification / deep learning / character-independent |
| Paper # | PRMU2022-72,IBISML2022-79 |
| Date of Issue | 2023-02-23 (PRMU, IBISML) |
| Conference Information | |
| Committee | PRMU / IBISML / IPSJ-CVIM |
|---|---|
| Conference Date | 2023/3/2(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Future University Hakodate |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Seiichi Uchida(Kyushu Univ.) / Masashi Sugiyama(Univ. of Tokyo) |
| Vice Chair | Takuya Funatomi(NAIST) / Mitsuru Anpai(Denso IT Lab.) / Toshihiro Kamishima(AIST) / Koji Tsuda(Univ. of Tokyo) |
| Secretary | Takuya Funatomi(CyberAgent) / Mitsuru Anpai(Univ. of Tokyo) / Toshihiro Kamishima(NTT) / Koji Tsuda(Hokkaido Univ.) |
| Assistant | Nakamasa Inoue(Tokyo Inst. of Tech.) / Yasutomo Kawanishi(Riken) / Yoshinobu Kawahara(Osaka Univ.) / Taiji Suzuki(Tokyo Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Information-Based Induction Sciences and Machine Learning / Special Interest Group on Computer Vision and Image Media |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A trial of writer identification using a deep neural network trained by handwriting of multiple character types |
| Sub Title (in English) | A study using a handwriting database of 401 writers |
| Keyword(1) | handwriting |
| Keyword(2) | writer identification |
| Keyword(3) | deep learning |
| Keyword(4) | character-independent |
| 1st Author's Name | Yoshinori Akao |
| 1st Author's Affiliation | National Research Institute of Police Science(NRIPS) |
| Date | 2023-03-02 |
| Paper # | PRMU2022-72,IBISML2022-79 |
| Volume (vol) | vol.122 |
| Number (no) | PRMU-404,IBISML-405 |
| Page | pp.pp.76-81(PRMU), pp.76-81(IBISML), |
| #Pages | 6 |
| Date of Issue | 2023-02-23 (PRMU, IBISML) |