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An Adaptive Algorithm for Text Detection from Natural Scenes
J. Gao and J. Yang
Proceedings of the 2001 IEEE Conference on Computer Vision and Pattern Recognition, December, 2001.

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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.

J. Gao and J. Yang, "An Adaptive Algorithm for Text Detection from Natural Scenes," Proceedings of the 2001 IEEE Conference on Computer Vision and Pattern Recognition, December, 2001.

@inproceedings{Gao_2001_3965,
   author = "Jiang Gao and Jie Yang",
   title = "An Adaptive Algorithm for Text Detection from Natural Scenes",
   booktitle = "Proceedings of the 2001 IEEE Conference on Computer Vision and Pattern Recognition",
   month = "December",
   year = "2001"
}