Presentation 1997/12/19
Handwritten Kanji Character Recognition Using Relative Direction Contributivity
Minoru MORI, Toru WAKAHARA, Kenji OGURA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Stroke directional features are effective for recognizing handwritten Kanji characters. PDC and ePDC were proposed as one of the best directional features for Kanji. But ePDC is local shape descriptions of individual strokes and so is not robust against slanting, rotation, and the fluctuation in stroke direction seen in freely handwritten characters. Against this distortion, we propose the new features, named RDC/nRDC, which express the relative angle and the relative position as the 2-D relationship between strokes. Experiments show that the proposed new features achieve very high recognition rates of about 96% for ETL9B and are effective for recognizing handwritten Kanji characters.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) OCR / handwritten Kanji recognition / feature extraction / direction contributivity / 2-D relationship between strokes / ETL9B
Paper # PRMU97-185
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Conference Information
Committee PRMU
Conference Date 1997/12/19(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Handwritten Kanji Character Recognition Using Relative Direction Contributivity
Sub Title (in English)
Keyword(1) OCR
Keyword(2) handwritten Kanji recognition
Keyword(3) feature extraction
Keyword(4) direction contributivity
Keyword(5) 2-D relationship between strokes
Keyword(6) ETL9B
1st Author's Name Minoru MORI
1st Author's Affiliation NTT Human Interface Laboratories()
2nd Author's Name Toru WAKAHARA
2nd Author's Affiliation NTT Human Interface Laboratories
3rd Author's Name Kenji OGURA
3rd Author's Affiliation NTT Human Interface Laboratories
Date 1997/12/19
Paper # PRMU97-185
Volume (vol) vol.97
Number (no) 459
Page pp.pp.-
#Pages 6
Date of Issue