Text Localization in Natural Scene Images Based on Conditional Random Field
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Detecting and reading text in natural scenes
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Character energy and link energy-based text extraction in scene images
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
AdaBoost for Text Detection in Natural Scene
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
Text Localization in Real-World Images Using Efficiently Pruned Exhaustive Search
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
Localizing and segmenting text in images and videos
IEEE Transactions on Circuits and Systems for Video Technology
Real-time scene text localization and recognition
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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An end-to-end real-time scene text localization and recognition method is demonstrated. The method localizes textual content in images, a video or a webcam stream, performs character recognition (OCR) and "reads" it out loud using a text-to-speech engine. The method has been recently published, achieves state-of-the-art results on public datasets and is able to recognize different fonts and scripts including non-latin ones. The real-time performance is achieved by posing the character detection problem as an efficient sequential selection from the set of Extremal Regions (ERs) which has a linear computation complexity in the number of pixels in the image. Robustness to blur, noise and illumination and color variations is also demonstrated. Finally, we show effects of various control parameters.