2017 Fiscal Year Final Research Report
Auto-generation of the handwritten character and brush character with individuality and natural variation
Project/Area Number |
15K00242
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Perceptual information processing
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Research Institution | The University of Aizu |
Principal Investigator |
SHIN JUNG PIL 会津大学, コンピュータ理工学部, 上級准教授 (40315677)
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Project Period (FY) |
2015-04-01 – 2018-03-31
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Keywords | 筆跡 / 文字合成 / 個人性 / 変異性 |
Outline of Final Research Achievements |
This research is concerned with the character generation method modeled personal handwriting. This research has succeeded to generate a handwritten character affected by (1) individuality and (2) natural variation of handwriting. It was based on this and 3 targets were established about this problem. First the character method to synthesize from a sample which has not written actually (called (3) scalability) has been developed aiming at realization of a more convenient system. Next the generated character was utilized and the performance of the on-line writer verification was improved. The artificial brush type character with 3 natures mentioned before was synthesized and model development for synthesis of the writing brush character was achieved.
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Free Research Field |
パターン認識
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