@inproceedings{b4e4786757724a9ea66cae6c96f756c4,
title = "A Transformer-Based Decoupled Attention Network for Text Recognition in Shopping Receipt Images",
abstract = "Optical character recognition (OCR) of shopping receipts plays an important role in smart business and personal financial management. Many challenging issues remain in current OCR systems for text recognition of shopping receipts captured by mobile phones. This research constructs a multi-task model by integrating saliency object detection as a branch task, which enables us to filter out irrelevant text instances by detecting the outline of a shopping receipt. Moreover, the developed model utilized a deformable convolution so as to learning visual information more effectively. On the other hand, to deal with attention drift of text recognition, we propose a transformer-based decoupled attention network, which is able to decouple the attention and prediction processes in attention mechanism. This mechanism can not only increase prediction accuracy, but also increase the inference speed. Extensive experimental results on a large-scale real-life dataset exhibit the effectiveness of our proposed method.",
keywords = "Optical character recognition, Saliency object detection, Shopping receipt, Text detection, Text recognition",
author = "Lang Ren and Haibin Zhou and Jiaqi Chen and Lujiao Shao and Yingji Wu and Haijun Zhang",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Singapore Pte Ltd.; 2nd International Conference on Neural Computing for Advanced Applications, NCAA 2021 ; Conference date: 27-08-2021 Through 30-08-2021",
year = "2021",
doi = "10.1007/978-981-16-5188-5\_40",
language = "英语",
isbn = "9789811651878",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "563--577",
editor = "Haijun Zhang and Zhi Yang and Zhao Zhang and Zhou Wu and Tianyong Hao",
booktitle = "Neural Computing for Advanced Applications - Second International Conference, NCAA 2021, Proceedings",
address = "德国",
}