Isolated character recognition by searching features in scene images

Kazuya Negishi, Masakazu Iwamura, Shinichiro Omachi, Hirotomo Aso

研究成果: Paper査読

5 被引用数 (Scopus)

抄録

Conventional segmentation technique cannot extract an isolated character and a touching character. In this paper, to utilize information of such characters, we propose a novel character recognition method based on extracting feature points and voting. The voting algorithm of the proposed method is similar to the generalized Hough transform. This method enables us to extract and recognize such troublesome characters in relatively shorter computational time. The effectiveness of the proposed method is confirmed by experiments.

本文言語English
ページ140-147
ページ数8
出版ステータスPublished - 2005
イベント1st International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2005 - Seoul, Korea, Republic of
継続期間: 2005 8 292005 8 29

Other

Other1st International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2005
国/地域Korea, Republic of
CitySeoul
Period05/8/2905/8/29

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識
  • ソフトウェア

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