Data embedding for camera-based character recognition

Seiichi Uchida, Masakazu Iwamura, Shinichiro Omachi, Koichi Kise

Research output: Contribution to conferencePaperpeer-review

4 Citations (Scopus)

Abstract

In this paper, the embedment of class information into each character image is investigated for camera-based character recognition as easy and accurate as bar-code reading. Each character image is printed with a horizontal stripe pattern, called a cross ratio pattern, and the class information is represented as a cross ratio derived from the pattern. Since the cross ratio is invariant to projective distortion, the class information is extracted correctly regardless of camera angle. Experimental results showed that the cross ratios are extracted from distorted character images with very high accuracy and thus very effective to attain high character recognition rates.

Original languageEnglish
Pages60-67
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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