2014 Dot net !!!!"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
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