Affine invariant information embedment for accurate camera-based character recognition

Shinichiro Omachi, Seiichi Uchida, Masakazu Iwamura, Koichi Kise

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

Recognizing characters in a scene image taken by a digital camera has been studied for decades. However, it is still a challenging problem to achieve high accuracy. In this paper, we propose a method of embedding information in a character pattern so that the class of the character can be identified. The information should be robust against geometric distortions since an image taken by a digital camera is usually geometrically distorted. In the proposed method, a character pattern is designed in two colors so that the information is embedded as the area ratio of regions of two colors. Since the area ratio is affine invariant, it is expected that the area ratio is correctly extracted even if a character image is affine-transformed. We generate character patterns with the embedded information and discuss the effectiveness of the proposed method.

本文言語English
ホスト出版物のタイトルProceedings - 18th International Conference on Pattern Recognition, ICPR 2006
ページ1098-1101
ページ数4
DOI
出版ステータスPublished - 2006
イベント18th International Conference on Pattern Recognition, ICPR 2006 - Hong Kong, China
継続期間: 2006 8 202006 8 24

出版物シリーズ

名前Proceedings - International Conference on Pattern Recognition
2
ISSN(印刷版)1051-4651

Other

Other18th International Conference on Pattern Recognition, ICPR 2006
CountryChina
CityHong Kong
Period06/8/2006/8/24

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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