ML Anthology

An Adaptive Algorithm for Text Detection from Natural Scenes

Jiang Gao, Jie Yang
CVPR 2001 pp. II:84-89
doi:10.1109/CVPR.2001.990929 /cvpr/2001/gao2001cvpr-adaptive/

Abstract

We present a new adaptive algorithm for automatic detection of text from a natural scene. The initial cues of text regions are first detected from the captured image/video. An adaptive color modeling and searching algorithm is then utilized near the initial text cues, to discriminate text/non-text regions. EM optimization algorithm is used for color modeling, under the constraint of text layout relations for a specific language. The proposed algorithm combines the advantages of several previous approaches for text detection, and utilizes a focus-of-attention approach for text finding. The whole algorithm is applied in a prototype system that can automatically detect and recognize sign input from a video camera, and translate the signs into English text or voice streams. We present evaluation results of our algorithm on this system.

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Text

Gao and Yang. "An Adaptive Algorithm for Text Detection from Natural Scenes." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2001. doi:10.1109/CVPR.2001.990929

Markdown

[Gao and Yang. "An Adaptive Algorithm for Text Detection from Natural Scenes." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2001.](https://mlanthology.org/cvpr/2001/gao2001cvpr-adaptive/) doi:10.1109/CVPR.2001.990929

BibTeX

@inproceedings{gao2001cvpr-adaptive,
  title     = {{An Adaptive Algorithm for Text Detection from Natural Scenes}},
  author    = {Gao, Jiang and Yang, Jie},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2001},
  pages     = {II:84-89},
  doi       = {10.1109/CVPR.2001.990929},
  url       = {https://mlanthology.org/cvpr/2001/gao2001cvpr-adaptive/}
}