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Paper Abstract and Keywords
Presentation 2018-02-16 11:30
A Study of Handwritten Chinese Character Recognition Method Based on Feature Points Extraction Using Micro Scale Space
Masato Suzuki, Daisuke Kitakoshi (Tokyo Kosen)
Abstract (in Japanese) (See Japanese page) 
(in English) Recognition method using local feature extraction is one of the famous strategies to general object recognition. By considering the handwritten chinese characters in the picture as objects, it is possible to apply this algorithm to them. But in character recognition, it is difficult to extract an appropriate local features due to the variety of character shape. In this report, in order to recognize the handwritten chinese characters in such a framework, we set an upper limit on the scale space for extracting characteristic feature points, and try to extract structure information of characters according to the feature extraction form micro scale space. And we also suggest a matching method by dynamically changing the scale of characteristic feature points. In recognition experiments, it is found that we can extract the structure informations from about 80% of characters, and improve the recognition accuracy in comparison with the traditional algorithm regardless of the kind of the reference character pictures.
Keyword (in Japanese) (See Japanese page) 
(in English) Local Feature / Extraction of Character Structure / Micro Scale Space / Handwritten Chinese Character Recognition / / / /  
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Conference Information
Conference Date 2018-02-15 - 2018-02-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To IEICE-IE 
Conference Code 2018-02-ITS-IE-MMS-HI-ME-AIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of Handwritten Chinese Character Recognition Method Based on Feature Points Extraction Using Micro Scale Space 
Sub Title (in English)  
Keyword(1) Local Feature  
Keyword(2) Extraction of Character Structure  
Keyword(3) Micro Scale Space  
Keyword(4) Handwritten Chinese Character Recognition  
1st Author's Name Masato Suzuki  
1st Author's Affiliation National Institute of Technology, Tokyo College (Tokyo Kosen)
2nd Author's Name Daisuke Kitakoshi  
2nd Author's Affiliation National Institute of Technology, Tokyo College (Tokyo Kosen)
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Speaker Author-1 
Date Time 2018-02-16 11:30:00 
Presentation Time 15 minutes 
Registration for IEICE-IE 
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Volume (vol) vol.42 
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