Presentation 2018-02-16
A Study of Handwritten Chinese Character Recognition Method Based on Feature Points Extraction Using Small Scale Space
Masato Suzuki, Daisuke Kitakoshi,
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Abstract(in Japanese) (See Japanese page)
Abstract(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 shapes. 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 informations of the characters according to the feature extraction form small 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)
Keyword(in English) Local Feature / Extraction of Character Structure / Small Scale Space / Handwritten Chinese Character Recognition
Paper # ITS2017-83,IE2017-115
Date of Issue 2018-02-08 (ITS, IE)

Conference Information
Committee ITS / IE / ITE-MMS / ITE-HI / ITE-ME / ITE-AIT
Conference Date 2018/2/15(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Hokkaido Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English) Image Processing, etc.
Chair Takayoshi Yokota(Tottori Univ.) / Takayuki Hamamoto(Tokyo Univ. of Science) / Norihiko Ishii(NHK) / Masayuki Sato(Univ. of Kitakyushu) / Miki Haseyama(Hokkaido Univ.) / Nobuhiko Mukai(Tokyo Cisy Univ.)
Vice Chair Masahiro Fujii(Utsunomiya Univ.) / Tomotaka Wada(Kansai Univ.) / Kazuya Kodama(NII) / Hideaki Kimata(NTT) / / / Norio Tagawa(Tokyo Metropolitan Univ.) / Hisaki Nate(Tokyo Polytechnic Univ.)
Secretary Masahiro Fujii(Meiji Univ.) / Tomotaka Wada(Saitama Univ.) / Kazuya Kodama(Nagoya Univ.) / Hideaki Kimata(KDDI Research) / (NHK) / (NTT) / Norio Tagawa(NHK) / Hisaki Nate(NHK)
Assistant Msataka Imao(ME) / Yanlei Gu(Univ. of Tokyo) / Kenshi Saho(Toyama Prefectural Univ.) / Kouichiro Hashiura(Akita Prefectural Univ.) / Yasutaka Matsuo(NHK) / Kazuya Hayase(NTT)

Paper Information
Registration To Technical Committee on Intelligent Transport Systems Technology / Technical Committee on Image Engineering / Technical Group on Multi-media Storage / Technical Group on Human Inormation / Technical Group on Media Engineering / Technical Group on Artistic Image Technology
Language JPN
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 Small Scale Space
Sub Title (in English)
Keyword(1) Local Feature
Keyword(2) Extraction of Character Structure
Keyword(3) Small 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)
Date 2018-02-16
Paper # ITS2017-83,IE2017-115
Volume (vol) vol.117
Number (no) ITS-431,IE-432
Page pp.pp.257-260(ITS), pp.257-260(IE),
#Pages 4
Date of Issue 2018-02-08 (ITS, IE)