Camera based degraded text recognition using grayscale feature

Jun Sun*, Yoshinobu Hotta, Yutaka Katsuyama, Satoshi Naoi

*この研究の対応する著者

研究成果: Conference contribution

12 被引用数 (Scopus)

抄録

As the rapid progress of digital imaging technology, camera based character recognition receives more and more attentions. One challenge in camera based OCR is the recognition for degraded text. Conventional OCR engines usually recognize on binary image. However, the performance drops dramatically as the degradation level increases. In this paper, a new recognition method is proposed to recognize degraded character based on dual eigenspace decomposition and synthetic degraded data. Then, the degraded character string is segmented by the combination of binary and grayscale analysis. Experiments on single character and text string recognition prove the effectiveness of our method.

本文言語English
ホスト出版物のタイトルProceedings of the Eighth International Conference on Document Analysis and Recognition
ページ182-186
ページ数5
DOI
出版ステータスPublished - 2005
外部発表はい
イベント8th International Conference on Document Analysis and Recognition - Seoul, Korea, Republic of
継続期間: 2005 8 312005 9 1

出版物シリーズ

名前Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
2005
ISSN(印刷版)1520-5363

Conference

Conference8th International Conference on Document Analysis and Recognition
国/地域Korea, Republic of
CitySeoul
Period05/8/3105/9/1

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識

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