Real time project Advance Text Extraction From Live Images !

we propose a robust and accurate MSER based scene text detection method. First, by exploring the hierarchical structure of MSERs and adopting simple features, we design a fast and accurate MSERs pruning algorithm; the number of character candidates to be processed is significantly reduced with a high accuracy. Second, we propose a novel self-training distance metric learning algorithm that can learn distance weights and clustering threshold automatically; character candidates are clustered into text candidates by the single-link clustering algorithm using the learned parameters. Third, we propose to use a character classifier to estimate the posterior probabilities of text candidates corresponding to non-text and remove text candidates with high non-text probabilities. Such elimination helps to train a more powerful text classifier for identifying text. Finally, by integrating the above ideas, we build an accurate and robust scene text detection system.www.fu-vision .com
www.fu- craft.com
www.fu-vision animedia.com
contact for more information: 9003206648
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