ASTER: An Attentional Scene Text Recognizer with Flexible Rectification.

IEEE Transactions on Pattern Analysis and Machine Intelligence(2019)

引用 786|浏览466
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摘要
A challenging aspect of scene text recognition is to handle text with distortions or irregular layout. In particular, perspective text and curved text are common in natural scenes and are difficult to recognize. In this work, we introduce ASTER, an end-to-end neural network model that comprises a rectification network and a recognition network. The rectification network adaptively transforms an in...
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关键词
Text recognition,Character recognition,Detectors,Decoding,Recurrent neural networks,Proposals
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