End-to-end multi-scale attention convolutional recurrent network for online handwritten Chinese text recognition

Xiwen Qu; Zhihong Wu

doi:10.1016/j.eswa.2025.127626

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End-to-end multi-scale attention convolutional recurrent network for online handwritten Chinese text recognition

Xiwen Qu Zhihong Wu

Year: 2025 Journal: Expert Systems with Applications Vol: 282 Pages: 127626-127626 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2025.127626

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Keywords:

Computer science Scale (ratio) End-to-end principle Artificial intelligence Convolutional neural network Natural language processing Speech recognition Pattern recognition (psychology)

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Handwritten Text Recognition Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing and 3D Reconstruction

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Vehicle License Plate Recognition

Physical Sciences → Engineering → Media Technology

End-to-end multi-scale attention convolutional recurrent network for online handwritten Chinese text recognition

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Citation History

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