An Extraction Method of Dynamic Writing Skills from Static Handwriting Images Using Spline-based Approach
Project/Area Number |
25871003
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Research Category |
Grant-in-Aid for Young Scientists (B)
|
Allocation Type | Multi-year Fund |
Research Field |
Intelligent informatics
Perceptual information processing
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Research Institution | Fukuoka Institute of Technology |
Principal Investigator |
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Project Period (FY) |
2013-04-01 – 2016-03-31
|
Project Status |
Completed (Fiscal Year 2015)
|
Budget Amount *help |
¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2015: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2014: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2013: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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Keywords | 筆順復元 / グラフ理論 / スプライン曲線 / 平滑化スプライン |
Outline of Final Research Achievements |
Main purpose of this study was to develop some methods of recovering a dynamic stroke order from a given static handwriting images and then extracting some skill on dynamic handwriting. We here consider three issues: (A) development of framework for recovering stroke order from static character images, (B) development on a theory and algorithm of skeleton spline model, and (C) development of extracting dynamic writing skill. In particular, in (C), the novel method for skeleton modeling was developed by considering even the case where the so-called pen-slip may arise in handwriting on digital devices-- such as pen tablet, etc.
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Report
(4 results)
Research Products
(13 results)