Isolated character recognition by searching features in scene images

Kazuya Negishi, Masakazu Iwamura, Shinichiro Omachi, Hirotomo Aso

Research output: Contribution to conferencePaperpeer-review

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages140-147
Number of pages8
Publication statusPublished - 2005
Event1st International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2005 - Seoul, Korea, Republic of
Duration: 2005 Aug 292005 Aug 29

Other

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

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Software

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