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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Vydané v:	IEEE access Ročník 7; s. 62616 - 62623
Hlavní autori:	Zuo, Ling-Qun, Sun, Hong-Mei, Mao, Qi-Chao, Qi, Rong, Jia, Rui-Sheng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
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