Structure-Aware in-Air Handwritten Text Recognition with Graph-Guided Cross-Modality Translator

In-air handwriting as a new human-computer interaction way plays an important role in many virtual/mixed-reality applications. Existing methods for in-air handwritten text recognition (IAHTR) typically directly process handwriting trajectories with deep neural networks. However, those methods all si...

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Veröffentlicht in:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) S. 5020 - 5024
Hauptverfasser:	Chen, Yuyan, Zhao, Xing, Gan, Ji, Leng, Jiaxu, Zhang, Yan, Gao, Xinbo
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 14.04.2024
Schlagworte:	Costs Encoder-Decoder Fuses Handwriting recognition Handwritten Text Recognition Human computer interaction In-Air Handwriting Multi-Modality Fusion Signal processing Speech recognition Text recognition
ISSN:	2379-190X
Online-Zugang:	Volltext
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