Affine-invariant character recognition by progressive removing

Masakazu Iwamura, Akira Horimatsu, Ryo Niwa, Koichi Kise, Seiichi Uchida, Shinichiro Omachi

研究成果: Contribution to journalArticle査読

2 被引用数 (Scopus)

抄録

Recognizing characters in scene images suffering from perspective distortion is a challenge. Although there are some methods to overcome this difficulty, they are time-consuming. In this paper, we propose a set of affine-invariant features and a new recognition scheme called "progressive removing" that can help reduce the processing time. Progressive removing gradually removes less feasible categories and skew angles by using multiple classifiers. We observed that progressive removing and the use of the affine invariant features reduced the processing time by about 60% in comparison to a trivial algorithm without decreasing the recognition rate. © 2012 Wiley Periodicals, Inc. Electr Eng Jpn, 180(2): 55-63, 2012; Published online in Wiley Online Library (). DOI 10.1002/eej.22276

本文言語英語
ページ(範囲)55-63
ページ数9
ジャーナルElectrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi)
180
2
DOI
出版ステータス出版済み - 7 30 2012

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

フィンガープリント 「Affine-invariant character recognition by progressive removing」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル