references.bib

@inproceedings{janssen2012receipts,
author = {Janssen, Bill and Saund, Eric and Bier, Eric and Wall, Patricia and Sprague, Mary Ann},
year = {2012},
month = {09},
pages = {121-124},
title = {Receipts2Go: The big world of small documents},
doi = {10.1145/2361354.2361381}
}

@article{raoui2017deep,
   title={Deep learning for automatic sale receipt understanding},
   ISBN={9781538618424},
   url={http://dx.doi.org/10.1109/IPTA.2017.8310088},
   DOI={10.1109/ipta.2017.8310088},
   journal={2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA)},
   publisher={IEEE},
   author={Raoui-Outach, Rizlene and Million-Rousseau, Cecile and Benoit, Alexandre and Lambert, Patrick},
   year={2017},
   month={Nov}
}

@inproceedings{ullah2017ocr,
author = {Ullah, Rafi and Sohani, Ali and Ali, Faraz and Rai, Athaul},
year = {2017},
month = {12},
pages = {},
title = {OCR Engine to extract Food-items and Prices from Receipt Images via Pattern matching and heuristics approach}
}

@unknown{ullah2018ocr,
author = {Ullah, Rafi and Sohani, Ali and Rai, Athaul and Ali, Faraz and Messier, Richard},
year = {2018},
month = {02},
pages = {},
title = {OCR Engine to Extract Food-Items, Prices, Quantity, Units from Receipt Images, Heuristics Rules Based Approach},
doi = {10.13140/RG.2.2.16640.74242}
}

@inproceedings{sohani2018optical,
author = {Ullah, Rafi and Sohani, Ali and Ali, Faraz and Rai, Athaul},
year = {2018},
month = {03},
pages = {},
title = {Optical Character Recognition Engine to extract Food-items and Prices from Grocery Receipt Images via Templating and Dictionary-Traversal Technique}
}

@inproceedings{yue2018automated,
  title={Automated Receipt Image Identification, Cropping, and Parsing},
  author={Yue, Alex},
  year={2018}
}

@misc{johansson2019separation,
  title={Separation and extraction of valuable information from digital receipts using Google Cloud Vision OCR.},
  author={Johansson, Elias},
  year={2019}
}

@misc{ziegaus2016optical,
  title={Optical Character Recognition on supermarket receipts},
  author={Ziegaus, Marco},
  year={2016}
}

@misc{szabo2014novel,
  title={A Novel Machine Learning Based Approach for Retrieving Information from Receipt Images},
  author={Szabo, Ronald},
  year={2014}
}

@inproceedings{maslowa2019receipt,
author = {Maslova, Olga and Klein, Louis and Dabernat, Damien and Benoit, Alexandre and Lambert, Patrick},
year = {2019},
month = {09},
pages = {1-6},
title = {Receipt automatic reader},
doi = {10.1109/CBMI.2019.8877407}
}

@article{le2019deep,
   title={Deep Learning Approach for Receipt Recognition},
   ISBN={9783030356538},
   ISSN={1611-3349},
   url={http://dx.doi.org/10.1007/978-3-030-35653-8_50},
   DOI={10.1007/978-3-030-35653-8_50},
   journal={Lecture Notes in Computer Science},
   publisher={Springer International Publishing},
   author={Le, Anh Duc and Pham, Dung Van and Nguyen, Tuan Anh},
   year={2019},
   pages={705–712}
}

@article{korobacz2018preprocessing,
	author = {Korobacz, Wojciech and Tabędzki, Marek},
	title = {{Preprocessing photos of receipts for recognition}},
	journal = {Advances in Computer Science Research},
	number = {14},
	year = {2018},
	issn = {2300-715X},
	doi = {10.24427/acsr-2018-vol14-0006}
}

@article{dobai2019document,
   title={A document detection technique using convolutional neural networks for optical character recognition systems},
   ISBN={9782875870650},
   journal={ESANN 2019 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence
and Machine Learning},
   author={Dobai, Lorand and Teletin, Mihai},
   year={2019},
   pages={547-552}
}

@article{harraj2015ocr,
author = {Harraj, Abdeslam and Raissouni, Naoufal},
year = {2015},
month = {09},
pages = {},
title = {OCR Accuracy Improvement on Document Images Through a Novel Pre-Processing Approach},
volume = {6},
journal = {Signal & Image Processing : An International Journal},
doi = {10.5121/sipij.2015.6401}
}

@inproceedings{nshuti2015mobile,
  title={Mobile Scanner and OCR ( A first step towards receipt to spreadsheet )},
  author={Nshuti, Clement Ntwari},
  year={2015}
}

@article{dai2017fused,
   title={Fused Text Segmentation Networks for Multi-oriented Scene Text Detection},
   ISBN={9781538637883},
   url={http://dx.doi.org/10.1109/ICPR.2018.8546066},
   DOI={10.1109/icpr.2018.8546066},
   journal={2018 24th International Conference on Pattern Recognition (ICPR)},
   publisher={IEEE},
   author={Dai, Yuchen and Huang, Zheng and Gao, Yuting and Xu, Youxuan and Chen, Kai and Guo, Jie and Qiu, Weidong},
   year={2018},
   month={Aug}
}

@article{sui2018novel,
   title={A Novel Integrated Framework for Learning both Text Detection and Recognition},
   ISBN={9781538637883},
   url={http://dx.doi.org/10.1109/ICPR.2018.8545047},
   DOI={10.1109/icpr.2018.8545047},
   journal={2018 24th International Conference on Pattern Recognition (ICPR)},
   publisher={IEEE},
   author={Sui, Wanchen and Zhang, Qing and Yang, Jun and Chu, Wei},
   year={2018},
   month={Aug}
}

@article{sarshogh2019multi,
   title={A Multi-task Network for Localization and Recognition of Text in Images},
   ISBN={9781728130149},
   url={http://dx.doi.org/10.1109/ICDAR.2019.00085},
   DOI={10.1109/icdar.2019.00085},
   journal={2019 International Conference on Document Analysis and Recognition (ICDAR)},
   publisher={IEEE},
   author={Sarshogh, Mohammad Reza and Hines, Keegan},
   year={2019},
   month={Sep}
}

@article{qin2019towards,
   title={Towards Unconstrained End-to-End Text Spotting},
   ISBN={9781728148038},
   url={http://dx.doi.org/10.1109/ICCV.2019.00480},
   DOI={10.1109/iccv.2019.00480},
   journal={2019 IEEE/CVF International Conference on Computer Vision (ICCV)},
   publisher={IEEE},
   author={Qin, Siyang and Bissaco, Alessandro and Raptis, Michalis and Fujii, Yasuhisa and Xiao, Ying},
   year={2019},
   month={Oct}
}

@misc{reisswig2019chargrid,
    title={Chargrid-OCR: End-to-end Trainable Optical Character Recognition for Printed Documents using Instance Segmentation},
    author={Christian Reisswig and Anoop R Katti and Marco Spinaci and Johannes Höhne},
    year={2019},
    eprint={1909.04469},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}

@phdthesis{odd2018utilize,
    title={Utilize OCR text to extract receipt data and classify receipts with common Machine Learning algorithms},
    url={http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148350},
    author={Odd, Joel and Theologou, Emil},
    year={2018}
}

@unknown{katti2018chargrid,
author = {Katti, Anoop and Reisswig, Christian and Guder, Cordula and Brarda, Sebastian and Bickel, Steffen and Höhne, Johannes and Faddoul, Jean},
year = {2018},
month = {09},
pages = {},
title = {Chargrid: Towards Understanding 2D Documents}
}

@article{liu2019graph,
   title={Graph Convolution for Multimodal Information Extraction from Visually Rich Documents},
   url={http://dx.doi.org/10.18653/v1/n19-2005},
   DOI={10.18653/v1/n19-2005},
   journal={Proceedings of the 2019 Conference of the North},
   publisher={Association for Computational Linguistics},
   author={Liu, Xiaojing and Gao, Feiyu and Zhang, Qiong and Zhao, Huasha},
   year={2019}
}

@inbook{gal2018visual,
author = {Gal, Rinon and Morag, Nimrod and Shilkrot, Roy},
year = {2019},
month = {06},
pages = {542-557},
title = {Visual-Linguistic Methods for Receipt Field Recognition},
isbn = {978-3-030-20889-9},
doi = {10.1007/978-3-030-20890-5_35}
}

@unknown{zhao2019cutie,
author = {Zhao, Xiaohui and Wu, Zhuo and Wang, Xiaoguang},
year = {2019},
month = {03},
pages = {},
title = {CUTIE: Learning to Understand Documents with Convolutional Universal Text Information Extractor}
}

@article{palm2019attend,
  title={Attend, Copy, Parse End-to-end Information Extraction from Documents},
  author={Palm, Rasmus Berg and Laws, Florian and Winther, Ole},
  journal={2019 International Conference on Document Analysis and Recognition (ICDAR)},
  year={2018},
  pages={329-336}
}

@inproceedings{dang2019end,
  title={End-to-End Information Extraction by Character-Level Embedding and Multi-Stage Attentional U-Net},
  author={Dang, Tuan Nguyen},
  year={2019}
}

@article{guo2019eaten,
   title={EATEN: Entity-Aware Attention for Single Shot Visual Text Extraction},
   ISBN={9781728130149},
   url={http://dx.doi.org/10.1109/ICDAR.2019.00049},
   DOI={10.1109/icdar.2019.00049},
   journal={2019 International Conference on Document Analysis and Recognition (ICDAR)},
   publisher={IEEE},
   author={Guo, He and Qin, Xiameng and Liu, Jiaming and Han, Junyu and Liu, Jingtuo and Ding, Errui},
   year={2019},
   month={Sep}
}

@inproceedings{hwang2019post,
title={Post-{\{}OCR{\}} parsing: building simple and robust parser via {\{}BIO{\}} tagging},
author={Wonseok Hwang and Seonghyeon Kim and Minjoon Seo and Jinyeong Yim and Seunghyun Park and Sungrae Park and Junyeop Lee and Bado Lee and Hwalsuk Lee},
booktitle={Workshop on Document Intelligence at NeurIPS 2019},
year={2019},
url={https://openreview.net/forum?id=SJgjf695UB}
}

@article{xu2019layout,
  title={LayoutLM: Pre-training of Text and Layout for Document Image Understanding},
  author={Yiheng Xu and Ming-Hao Li and Lei Cui and Shaohan Huang and Furu Wei and Ming Zhou},
  journal={ArXiv},
  year={2019},
  volume={abs/1912.13318}
}