WEKO3
アイテム
Recognition Based Segmentation of Handwritten Alphanumeric Characters Entry on Tablet PC
http://hdl.handle.net/10458/00010077
http://hdl.handle.net/10458/00010077a0362138-e47f-4e9b-b9f3-5b40143bd5d7
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
本文 (1.2 MB)
|
|
| Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2020-10-30 | |||||
| タイトル | ||||||
| タイトル | Recognition Based Segmentation of Handwritten Alphanumeric Characters Entry on Tablet PC | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Handwritten character segmentation | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Recognition | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Sliding window | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Region of interest (ROI) | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Convolutional neural network (CNN) | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | departmental bulletin paper | |||||
| 著者 |
Myat, Thiri Wai
× Myat, Thiri Wai× Thi, Thi Zin× 横田, 光広× Khin, Than Mya |
|||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Portable tablet PC are very useful in relevant industry of this age because tablets are elegant in appearance and convenient to use. Important things are noted on tablet by handwriting easily in respective industry. Recognition of handwritten characters automatically on tablet like human’s brain is also necessary to be more convenient. To split each character of different handwritten styles is very difficult and it is the main challenging of handwritten character recognition. The previous handwritten character segmentation approaches are still continuing in different problems because of different handwritten styles. The combination of sliding windows, region of interest (ROI) box and convolutional neural network (CNN) are used to execute recognition based segmentation (implicit) of handwritten characters. This system is intended to perform both segmentation and recognition of tablet based application input handwritten characters. Handwritten data are collected from 24 members of our laboratory using three tablets PC models to perform the experiments. | |||||
| 言語 | en | |||||
| 書誌情報 |
ja : 宮崎大学工学部紀要 en : Memoirs of Faculty of Engineering, University of Miyazaki 巻 49, p. 79-84, 発行日 2020-09 |
|||||
| 出版者 | ||||||
| 出版者 | 宮崎大学工学部 | |||||
| 言語 | ja | |||||
| 出版者 | ||||||
| 出版者 | Faculty of Engineering, University of Miyazaki | |||||
| 言語 | en | |||||
| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 05404924 | |||||
| 書誌レコードID | ||||||
| 収録物識別子タイプ | NCID | |||||
| 収録物識別子 | AA00732558 | |||||
| 著者版フラグ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
