Natural Scene Text Recognition Based on Encoder-Decoder Framework

Aiming at the situation that complex natural scene text is difficult to recognize a scene text recognition method based on an encoder-decoder framework is proposed. The method converts the natural text recognition into a sequence mark by combining the connection time classification (CTC) and attenti...

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Veröffentlicht in:	IEEE access Jg. 7; S. 62616 - 62623
Hauptverfasser:	Zuo, Ling-Qun, Sun, Hong-Mei, Mao, Qi-Chao, Qi, Rong, Jia, Rui-Sheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial neural networks Bi-LSTM Character recognition CNN Coders Convolutional neural networks Decoding encoder-decoder framework Encoders-Decoders Feature extraction Image segmentation Natural scene text recognition Optical character recognition software Recognition Text recognition Training
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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