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Accurate recognition of words in scenes without character segmentation using recurrent neural network
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文摘
We designed a novel method that converts a word image into a sequential signal. We designed an ensembling RNN for word-level scene text recognition which obtained superior recognition accuracy. Our method uses publicly available datasets in training which provides a baseline for benchmarking of the future works. Our method uses word instead character level annotations, which reduces the efforts in ground truth generation greatly.

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