[Paper] Rotated Character Recognition and its Properties

• Baba Yuta

  Graduate School of Engineering, University of Fukui

• Hase Hiroyuki

  Graduate School of Engineering, University of Fukui

• Tokai Shogo

  Graduate School of Engineering, University of Fukui

抄録

We present about a characteristic and the performance of the rotated character recognition using eigen-subspace for Japanese characters of 3,133 categories. At first, a few advantages of recognition experiments by noise-free character images are described. Next, it is shown that the multiple-projection method is more effective than the simple projection in low dimension, also the angle is precisely estimated within ±2 degrees. And the tendency of misclassification is considered for both projection methods. Next, although we use 36 character images as learning data, their sufficiency is shown experimentally. Furthermore, it is shown that very high recognition performance is obtained even when 3,133 Japanese categories of popular Mincho and Gothic fonts are used. Finally, when camera images are used, the deterioration of the recognition performance is improved. Also, it is shown that the inclination angle of a document can be estimated by this method without using layout analysis.

収録刊行物

• 映像情報メディア学会英語論文誌

  映像情報メディア学会英語論文誌 3 (1), 22-29, 2015

  一般社団法人 映像情報メディア学会

キーワード

• rotated character recognition
• a lot of categories
• eigen-space
• camera image
• document

詳細情報

• CRID: 1390001205423639296
• NII論文ID: 130004974729
• DOI: 10.3169/mta.3.22
• ISSN: 21867364
• Web Site: https://www.jstage.jst.go.jp/article/mta/3/1/3_22/_pdf
• 本文言語コード: en
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可