Text detection in natural scene images with user-intention

Liuan Wang, Yutaka Katsuyama, Wei Fan, Yuan He, Jun Sun, Yoshinobu Hotta

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

We propose an accurate and robust coarse-to-fine text detection scheme with user-intention which captures the intrinsic characteristics of natural scene texts. In the coarse detection stage, a double edge detector is designed to estimate the symmetry of stroke and the stroke width, which help segment the foreground. Then the initial user-intention region is extended to generate a coarse bounding box based on the estimated foreground. In the refinement stage, candidate connected components (CCs) from Niblack decomposition, are grouped together by location to form text lines after noise removal and layer selection. Experimental results demonstrate the effectiveness of the proposed method which yields higher performance compared with state-of-the-art methods.

本文言語English
ホスト出版物のタイトル2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
ページ2256-2259
ページ数4
DOI
出版ステータスPublished - 2013
外部発表はい
イベント2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, Australia
継続期間: 2013 9 152013 9 18

出版物シリーズ

名前2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

Conference

Conference2013 20th IEEE International Conference on Image Processing, ICIP 2013
CountryAustralia
CityMelbourne, VIC
Period13/9/1513/9/18

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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