ref.bib

@article{handwritingGANGeneration,
  author     = {Eloi Alonso and
                Bastien Moysset and
                Ronaldo O. Messina},
  title      = {Adversarial Generation of Handwritten Text Images Conditioned on Sequences},
  journal    = {CoRR},
  volume     = {abs/1903.00277},
  year       = {2019},
  url        = {http://arxiv.org/abs/1903.00277},
  eprinttype = {arXiv},
  eprint     = {1903.00277},
  timestamp  = {Sat, 30 Mar 2019 19:27:21 +0100},
  biburl     = {https://dblp.org/rec/journals/corr/abs-1903-00277.bib},
  bibsource  = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-1809-11096,
  author     = {Andrew Brock and
                Jeff Donahue and
                Karen Simonyan},
  title      = {Large Scale {GAN} Training for High Fidelity Natural Image Synthesis},
  journal    = {CoRR},
  volume     = {abs/1809.11096},
  year       = {2018},
  url        = {http://arxiv.org/abs/1809.11096},
  eprinttype = {arXiv},
  eprint     = {1809.11096},
  timestamp  = {Fri, 05 Oct 2018 11:34:52 +0200},
  biburl     = {https://dblp.org/rec/journals/corr/abs-1809-11096.bib},
  bibsource  = {dblp computer science bibliography, https://dblp.org}
}

@misc{graves2014generating,
  title         = {Generating Sequences With Recurrent Neural Networks},
  author        = {Alex Graves},
  year          = {2014},
  url           = {https://arxiv.org/pdf/1308.0850.pdf},
  eprint        = {1308.0850},
  archiveprefix = {arXiv},
  primaryclass  = {cs.NE}
}

@inbook{inbook,
  author = {Bodapati, Suraj and Reddy, Sneha and Katta, Sugamya},
  year   = {2020},
  url    = {https://link.springer.com/chapter/10.1007/978-981-15-1480-7_55},
  month  = {03},
  pages  = {651-661},
  title  = {Realistic Handwriting Generation Using Recurrent Neural Networks and Long Short-Term Networks},
  isbn   = {978-981-15-1479-1},
  doi    = {10.1007/978-981-15-1480-7_55}
}

@article{DBLP:journals/corr/abs-1907-11845,
  author     = {Bo Ji and
                Tianyi Chen},
  title      = {Generative Adversarial Network for Handwritten Text},
  journal    = {CoRR},
  volume     = {abs/1907.11845},
  year       = {2019},
  url        = {http://arxiv.org/abs/1907.11845},
  eprinttype = {arXiv},
  eprint     = {1907.11845},
  timestamp  = {Thu, 01 Aug 2019 08:59:33 +0200},
  biburl     = {https://dblp.org/rec/journals/corr/abs-1907-11845.bib},
  bibsource  = {dblp computer science bibliography, https://dblp.org}
}

@misc{IAMHandwritingDatabaseOnline,
  title  = {IAM Handwriting Database},
  author = {{IAM Group}},
  year   = {2005},
  url    = {https://fki.tic.heia-fr.ch/databases/iam-on-line-handwriting-database}
}

@misc{brock2019large,
  title         = {Large Scale GAN Training for High Fidelity Natural Image Synthesis},
  author        = {Andrew Brock and Jeff Donahue and Karen Simonyan},
  year          = {2019},
  eprint        = {1809.11096},
  archiveprefix = {arXiv},
  primaryclass  = {cs.LG}
}

@misc{zhang2019selfattention,
  title         = {Self-Attention Generative Adversarial Networks},
  author        = {Han Zhang and Ian Goodfellow and Dimitris Metaxas and Augustus Odena},
  year          = {2019},
  eprint        = {1805.08318},
  archiveprefix = {arXiv},
  primaryclass  = {stat.ML}
}

@inproceedings{NIPS2017_6fab6e3a,
  author    = {de Vries, Harm and Strub, Florian and Mary, Jeremie and Larochelle, Hugo and Pietquin, Olivier and Courville, Aaron C},
  booktitle = {Advances in Neural Information Processing Systems},
  editor    = {I. Guyon and U. Von Luxburg and S. Bengio and H. Wallach and R. Fergus and S. Vishwanathan and R. Garnett},
  pages     = {},
  publisher = {Curran Associates, Inc.},
  title     = {Modulating early visual processing by language},
  url       = {https://proceedings.neurips.cc/paper_files/paper/2017/file/6fab6e3aa34248ec1e34a4aeedecddc8-Paper.pdf},
  volume    = {30},
  year      = {2017}
}

@inproceedings{BlucheM17,
  title     = {Gated Convolutional Recurrent Neural Networks for Multilingual Handwriting Recognition},
  author    = {Théodore Bluche and Ronaldo O. Messina},
  year      = {2017},
  doi       = {10.1109/ICDAR.2017.111},
  url       = {https://doi.org/10.1109/ICDAR.2017.111},
  researchr = {https://researchr.org/publication/BlucheM17},
  cites     = {0},
  citedby   = {0},
  pages     = {646-651},
  booktitle = {14th IAPR International Conference on Document Analysis and Recognition, ICDAR 2017, Kyoto, Japan, November 9-15, 2017},
  publisher = {IEEE},
  isbn      = {978-1-5386-3586-5}
}

@book{fr-crnn,
  url     = {https://perso.eleves.ens-rennes.fr/people/killian.barrere/papers/Results_of_a_PyTorch_implementation_of_an_Handwritten_Text_Recognition_Framework.pdf},
  journal = {Results of a PyTorch implementation of an Handwritten Text Recognition Framework},
  author  = {Barrere, Killian and Lemaitre, Aurélie and Coüasnon, Bertrand}
} 

@inproceedings{FID_paper,
  author    = {Obukhov, Artem
               and Krasnyanskiy, Mikhail},
  editor    = {Silhavy, Radek
               and Silhavy, Petr
               and Prokopova, Zdenka},
  title     = {Quality Assessment Method for GAN Based on Modified Metrics Inception Score and Fr{\'e}chet Inception Distance},
  booktitle = {Software Engineering Perspectives in Intelligent Systems},
  year      = {2020},
  publisher = {Springer International Publishing},
  address   = {Cham},
  pages     = {102--114},
  abstract  = {The article examines the problem of quality assessment for generative adversarial networks (GANs). There is no unified and universal metric to compare and evaluate GAN. Well-known approaches for the GAN quality assessment are focused on images generating neural networks. This paper considers the problem of the quality determination of arbitrary GAN operating with various data sets. For problem solution, a quality assessment method of arbitrary GAN is proposed, which differs by the modification of the calculation formulas Inception Score and Fr{\'e}chet Inception Distance. The included changes allow the use of these metrics to assess and compare arbitrary GANs. The developed method was tested during experiments on the objects generation from marked (MNIST) and unmarked (Human Activity Recognition Using Smartphones and Epileptic Seizure Recognition) datasets. The obtained results confirm the possibility of applying the modified metrics Inception Score and Fr{\'e}chet Inception Distance to assess the quality of arbitrary GANs.},
  isbn      = {978-3-030-63322-6}
}

@article{Marti1999AFE,
  title   = {A full English sentence database for off-line handwriting recognition},
  author  = {Urs-Viktor Marti and Horst Bunke},
  url     = {https://www.researchgate.net/publication/2461096_A_full_English_sentence_database_for_off-line_handwriting_recognition},
  journal = {Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318)},
  year    = {1999},
  pages   = {705-708}
}

@inproceedings{corpus,
  title  = {Manual of information to accompany the Lancaster-Oslo : Bergen Corpus of British English, for use with digital computers},
  author = {Johansson. Stig and Geoffrey Leech and Helen Goodluck},
  url    = {http://korpus.uib.no/icame/manuals/LOB/INDEX.HTM},
  year   = {1978}
}

@article{iamdb,
  author  = {Marti, Urs-Viktor and Bunke, H.},
  year    = {2002},
  month   = {11},
  pages   = {39-46},
  url     = {https://www.researchgate.net/publication/226662568_The_IAM-database_An_English_sentence_database_for_offline_handwriting_recognition},
  title   = {The IAM-database: An English sentence database for offline handwriting recognition},
  volume  = {5},
  journal = {International Journal on Document Analysis and Recognition},
  doi     = {10.1007/s100320200071}
}

@inproceedings{TableDetect,
  author    = {Faisal Shafait and Ray Smith},
  booktitle = {Document Analysis Systems},
  editor    = {David S. Doermann and Venu Govindaraju and Daniel P. Lopresti and Premkumar Natarajan},
  pages     = {65--72},
  publisher = {ACM},
  series    = {ACM International Conference Proceeding Series},
  title     = {Table detection in heterogeneous documents.},
  url       = {http://dblp.uni-trier.de/db/conf/das/das2010.html#ShafaitS10},
  year      = 2010,
  isbn      = {978-1-60558-773-8},
  date      = {2010-07-07}
}

@inproceedings{Multilingual,
  author    = {Ray Smith and Daria Antonova and Dar-Shyang Lee},
  booktitle = {MOCR '09: Proceedings of the International Workshop on Multilingual OCR},
  editor    = {Venu Govindaraju and Premkumar Natarajan and Santanu Chaudhury and Daniel P. Lopresti},
  pages     = {1--8},
  publisher = {ACM},
  series    = {ACM International Conference Proceeding Series},
  title     = {Adapting the Tesseract Open Source OCR Engine for Multilingual OCR.},
  url       = {http://www.google.de/research/pubs/archive/35248.pdf},
  year      = 2009,
  isbn      = {978-1-60558-698-4},
  date      = {2009-07-25},
  doi       = {http://doi.acm.org/10/1145/1577802.1577804},
  location  = {Barcelona, Spain}
}

@inproceedings{ScriptDetect,
  author    = {Ranjith Unnikrishnan and Ray Smith},
  title     = {Combined Orientation and Script Detection using the Tesseract OCR Engine},
  booktitle = {MOCR '09: Proceedings of the International Workshop on Multilingual OCR},
  editor    = {Venu Govindaraju and Premkumar Natarajan and Santanu Chaudhury and Daniel P. Lopresti},
  url       = {http://www.google.de/research/pubs/archive/35506.pdf},
  year      = {2009},
  isbn      = {978-1-60558-698-4},
  pages     = {1--7},
  location  = {Barcelona, Spain},
  doi       = {http://doi.acm.org/10.1145/1577802.1577809},
  publisher = {ACM},
  address   = {New York, NY, USA}
}

@inproceedings{PageLayout,
  author    = {Ray Smith},
  title     = {Hybrid Page Layout Analysis via Tab-Stop Detection},
  booktitle = {ICDAR '09: Proceedings of the 2009 10th International Conference on Document Analysis and Recognition},
  url       = {http://www.google.de/research/pubs/archive/35094.pdf},
  year      = {2009},
  isbn      = {978-0-7695-3725-2},
  pages     = {241--245},
  doi       = {http://dx.doi.org/10.1109/ICDAR.2009.257},
  publisher = {IEEE Computer Society},
  address   = {Washington, DC, USA}
}

@inproceedings{TessOverview,
  author    = {Ray Smith},
  title     = {An Overview of the Tesseract OCR Engine},
  booktitle = {ICDAR '07: Proceedings of the Ninth International Conference on Document Analysis and Recognition},
  url       = {http://www.google.de/research/pubs/archive/33418.pdf},
  year      = {2007},
  isbn      = {0-7695-2822-8},
  pages     = {629--633},
  publisher = {IEEE Computer Society},
  address   = {Washington, DC, USA}
}