bibtex cleanup
This commit is contained in:
@@ -13,6 +13,6 @@ Heutige Texterkennungssysteme arbeiten oft mit einer Kombination aus neuralen Ne
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\subsection{Filterung der Ergebnisdaten}
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Das Themengebiet des Natural Language Processing beschäftigt sich mit der Interaktion zwischen menschlicher Sprache und Computern. Techniken aus der Informatik, Linguistik und dem maschinellen Lernen werden kombiniert, um mit menschlicher Sprache umzugehen und beispielsweise Textanalyse, Übersetzungen, Spracherkennung oder Dialogsysteme möglich zu machen \mcite{chowdhary2020natural}. Durch die große Aufmerksamkeit und die vielseitige Nutzung der Technologien -- von automatischer Rechtschreibkontrolle bis hin zu digitalen Sprachassistenten -- sowie dem Aufkommen von neuronalen Netzwerken wurden in diesem Forschungsgebiet in den letzten Jahren immer wieder Fortschritte erzielt \mcite{kalyanathaya2019advances, 10.1145/219717.219778} [TODO neu schreiben weil das ist einfach alles alte technik].
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Das Themengebiet des Natural Language Processing beschäftigt sich mit der Interaktion zwischen menschlicher Sprache und Computern. Techniken aus der Informatik, Linguistik und dem maschinellen Lernen werden kombiniert, um mit menschlicher Sprache umzugehen und beispielsweise Textanalyse, Übersetzungen, Spracherkennung oder Dialogsysteme möglich zu machen \mcite{chowdhary2020natural}. Durch die große Aufmerksamkeit und die vielseitige Nutzung der Technologien -- von automatischer Rechtschreibkontrolle bis hin zu digitalen Sprachassistenten -- sowie dem Aufkommen von neuronalen Netzwerken wurden in diesem Forschungsgebiet in den letzten Jahren immer wieder Fortschritte erzielt \mcite{kalyanathaya2019advances, church1995} [TODO neu schreiben weil das ist einfach alles alte technik].
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Dadurch gibt es zahlreiche wissenschaftliche Ressourcen, die als Grundlage für die Vorgehensweise zur Interpretation und Extraktion relevanter Schlagworte aus den erkannten Freitextdaten dienen.
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+187
-247
@@ -1,46 +1,67 @@
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@book{2007Crs,
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title = {Character recognition systems: a guide for students and practioners},
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author = {Cheriet, Mohamed},
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year = 2007,
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||||
isbn = 9780471415701,
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url = {https://permalink.obvsg.at/fho/AC06408992},
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urldate = {2024-02-12},
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language = {eng},
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keywords = {Optical character recognition devices}
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@article{asif2014overview,
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title = {An overview and applications of optical character recognition},
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||||
author = {Asif, AMAM and Hannan, Shaikh Abdul and Perwej, Yusuf and Vithalrao, Mane Arjun},
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||||
year = 2014,
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||||
journal = {Int. J. Adv. Res. Sci. Eng},
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volume = 3,
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||||
number = 7
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}
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@book{2022Scas,
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title = {Soft computing and signal processing: proceedings of 4th ICSCSP 2021},
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||||
author = {Reddy, V. Sivakumar},
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||||
year = 2022,
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||||
series = {Advances in Intelligent Systems and Computing ;},
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isbn = {981-16-7088-9},
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||||
url = {https://search-fho.obvsg.at/permalink/f/19351jn/FHO_alma5134174850004527},
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@online{azurevision_home,
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||||
title = {Azure AI Vision - Homepage},
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||||
url = {https://azure.microsoft.com/en-us/products/ai-services/ai-vision},
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||||
urldate = {2024-02-12},
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||||
language = {eng},
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||||
keywords = {Signal processing ; Congresses}
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date = {2023-05-23},
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language = {eng}
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}
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@book{BoochGrady1999Tuml,
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title = {The unified modeling language user guide : UML},
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author = {Booch, Grady},
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year = 1999,
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series = {Addison-Wesley object technology series},
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isbn = {0201571684},
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||||
url = {https://permalink.obvsg.at/fho/AC08768402},
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@online{azurevision_pricing,
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title = {Azure AI Vision - Pricing},
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||||
url = {https://azure.microsoft.com/en-gb/pricing/details/cognitive-services/computer-vision/},
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||||
urldate = {2024-02-12},
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||||
edition = {3. print..},
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||||
language = {eng},
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||||
keywords = {Computer software ; Development}
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||||
date = {2023-05-23},
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||||
language = {eng}
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}
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@book{ChaudhuriArindam2017OCRS,
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title = {Optical Character Recognition Systems for Different Languages with Soft Computing},
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author = {Chaudhuri, Arindam},
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year = 2017,
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||||
series = {Studies in Fuzziness and Soft Computing 352},
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isbn = 9783319502526,
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url = {https://permalink.obvsg.at/fho/AC12323924},
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@image{bimodal-histogram,
|
||||
title = {Example of a histogram exhibiting bimodalty},
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||||
author = {Wikimedia Commons},
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||||
year = 2014,
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||||
url = {https://commons.wikimedia.org/wiki/File:Bimodal-histogram.png},
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||||
urldate = {2024-02-12}
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}
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||||
@inbook{cc_platforms_comparison,
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||||
title = {Comparison of Different Cloud Computing Platforms for Data Analytics},
|
||||
author = {Gupta, Urvashi and Sharma, Rohit},
|
||||
year = 2023,
|
||||
month = {09},
|
||||
doi = {10.1007/978-981-99-3716-5_7},
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||||
isbn = {978-981-99-3715-8}
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}
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@article{chowdhary2020natural,
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title = {Natural language processing},
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author = {Chowdhary, KR1442 and Chowdhary, KR},
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year = 2020,
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journal = {Fundamentals of artificial intelligence},
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publisher = {Springer}
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}
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@article{church1995,
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title = {Commercial Applications of Natural Language Processing},
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author = {Church, Kenneth W. and Rau, Lisa F.},
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year = 1995,
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journal = {Commun. ACM},
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publisher = {Association for Computing Machinery},
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address = {New York, NY, USA},
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volume = 38,
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number = 11,
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doi = {church1995},
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issn = {0001-0782},
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url = {https://doi.org/church1995},
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numpages = 9
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}
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||||
@online{copa-data_zenon,
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title = {COPA-DATA zenon - Homepage},
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||||
url = {https://www.copadata.com/en/product/zenon-software-platform-for-industrial-automation-energy-automation/},
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||||
urldate = {2024-02-12},
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||||
language = {eng},
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||||
keywords = {Engineering}
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date = {2023-05-23},
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language = {eng}
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}
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@book{DingXiaoqing2012AiCR,
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title = {Advances in Character Recognition},
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@@ -54,38 +75,16 @@
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language = {eng},
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keywords = {Optical character recognition}
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}
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@inproceedings{Smith2007,
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title = {An Overview of the Tesseract OCR Engine},
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||||
author = {Smith R.},
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||||
url = {https://ieeexplore.ieee.org/document/4376991},
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||||
urldate = {2024-02-12},
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date = 2007,
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langid = {ngerman}
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@article{eikvil1993optical,
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title = {Optical character recognition},
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author = {Eikvil, Line},
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year = 1993,
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journal = {citeseer. ist. psu. edu/142042. html},
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volume = 26
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}
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@online{tessdoc,
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||||
title = {Tesseract Documentation},
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||||
url = {https://tesseract-ocr.github.io/},
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||||
urldate = {2024-02-12},
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||||
date = {2023-05-23},
|
||||
language = {eng}
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||||
}
|
||||
@online{imagemagick,
|
||||
title = {ImageMagick Homepage},
|
||||
url = {https://www.imagemagick.org/},
|
||||
urldate = {2024-02-12},
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||||
date = {2023-05-23},
|
||||
language = {eng}
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||||
}
|
||||
@online{textract_pricing,
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||||
title = {Amazon Textract - Pricing},
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||||
url = {https://aws.amazon.com/textract/pricing/},
|
||||
urldate = {2024-02-12},
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||||
date = {2023-05-23},
|
||||
language = {eng}
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||||
}
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||||
@online{textract_home,
|
||||
title = {Amazon Textract - Homepage},
|
||||
url = {https://aws.amazon.com/textract},
|
||||
@online{gcv_home,
|
||||
title = {Google Cloud Vision - Homepage},
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||||
url = {https://cloud.google.com/vision},
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||||
urldate = {2024-02-12},
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||||
date = {2023-05-23},
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||||
language = {eng}
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||||
@@ -97,23 +96,9 @@
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||||
date = {2023-05-23},
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||||
language = {eng}
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||||
}
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||||
@online{gcv_home,
|
||||
title = {Google Cloud Vision - Homepage},
|
||||
url = {https://cloud.google.com/vision},
|
||||
urldate = {2024-02-12},
|
||||
date = {2023-05-23},
|
||||
language = {eng}
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||||
}
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||||
@online{azurevision_pricing,
|
||||
title = {Azure AI Vision - Pricing},
|
||||
url = {https://azure.microsoft.com/en-gb/pricing/details/cognitive-services/computer-vision/},
|
||||
urldate = {2024-02-12},
|
||||
date = {2023-05-23},
|
||||
language = {eng}
|
||||
}
|
||||
@online{azurevision_home,
|
||||
title = {Azure AI Vision - Homepage},
|
||||
url = {https://azure.microsoft.com/en-us/products/ai-services/ai-vision},
|
||||
@online{imagemagick,
|
||||
title = {ImageMagick Homepage},
|
||||
url = {https://www.imagemagick.org/},
|
||||
urldate = {2024-02-12},
|
||||
date = {2023-05-23},
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||||
language = {eng}
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||||
@@ -125,9 +110,92 @@
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||||
date = {2023-05-23},
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||||
language = {eng}
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||||
}
|
||||
@online{copa-data_zenon,
|
||||
title = {COPA-DATA zenon - Homepage},
|
||||
url = {https://www.copadata.com/en/product/zenon-software-platform-for-industrial-automation-energy-automation/},
|
||||
@article{islam2017survey,
|
||||
title = {A survey on optical character recognition systems},
|
||||
author = {Islam, Islam, Noor},
|
||||
year = 2017,
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||||
journal = {arXiv preprint arXiv:1710.05703}
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||||
}
|
||||
@article{kalyanathaya2019advances,
|
||||
title = {Advances in natural language processing: a survey of current research trends, development tools and industry applications},
|
||||
author = {Kalyanathaya, Krishna Prakash and Akila, D and Rajesh, P},
|
||||
year = 2019,
|
||||
journal = {International Journal of Recent Technology and Engineering},
|
||||
volume = 7,
|
||||
number = {5C}
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||||
}
|
||||
@article{kapur1985new,
|
||||
title = {A new method for gray-level picture thresholding using the entropy of the histogram},
|
||||
author = {Kapur, Jagat Narain and Sahoo, Prasanna K and Wong, Andrew KC},
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||||
year = 1985,
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||||
journal = {Computer vision, graphics, and image processing},
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||||
publisher = {Elsevier},
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||||
volume = 29,
|
||||
number = 3
|
||||
}
|
||||
@inproceedings{karpinski2018metrics,
|
||||
title = {Metrics for complete evaluation of ocr performance},
|
||||
author = {Karpinski, Romain and Lohani, Devashish and Belaid, Abdel},
|
||||
year = 2018,
|
||||
booktitle = {IPCV'18-The 22nd Int'l Conf on Image Processing, Computer Vision, \& Pattern Recognition}
|
||||
}
|
||||
@inproceedings{levenshtein1966binary,
|
||||
title = {Binary codes capable of correcting deletions, insertions, and reversals},
|
||||
author = {Levenshtein}
|
||||
}
|
||||
@article{mursari2021effectiveness,
|
||||
title = {The effectiveness of image preprocessing on digital handwritten scripts recognition with the implementation of OCR Tesseract},
|
||||
author = {Mursari, Lily Rojabiyati and Wibowo, Antoni},
|
||||
year = 2021,
|
||||
journal = {Computer Engineering and Applications Journal},
|
||||
volume = 10,
|
||||
number = 3
|
||||
}
|
||||
@article{otsu1979threshold,
|
||||
title = {A threshold selection method from gray-level histograms},
|
||||
author = {Otsu, Nobuyuki},
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year = 1979,
|
||||
journal = {IEEE transactions on systems, man, and cybernetics},
|
||||
publisher = {IEEE},
|
||||
volume = 9,
|
||||
number = 1
|
||||
}
|
||||
@inproceedings{park2008empirical,
|
||||
title = {An empirical analysis of word error rate and keyword error rate.},
|
||||
author = {Park, Youngja and Patwardhan, Siddharth and Visweswariah, Karthik and Gates, Stephen C},
|
||||
year = 2008,
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||||
booktitle = {Interspeech},
|
||||
volume = 2008
|
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}
|
||||
@article{sahoo1988survey,
|
||||
title = {A survey of thresholding techniques},
|
||||
author = {Sahoo, Prasanna K and Soltani, SAKC and Wong, Andrew KC},
|
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year = 1988,
|
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journal = {Computer vision, graphics, and image processing},
|
||||
publisher = {Elsevier},
|
||||
volume = 41,
|
||||
number = 2
|
||||
}
|
||||
@inproceedings{Smith2007,
|
||||
title = {An Overview of the Tesseract OCR Engine},
|
||||
author = {Smith R.},
|
||||
url = {https://ieeexplore.ieee.org/document/4376991},
|
||||
urldate = {2024-02-12},
|
||||
date = 2007,
|
||||
langid = {ngerman}
|
||||
}
|
||||
@article{sporici2020improving,
|
||||
title = {Improving the accuracy of Tesseract 4.0 OCR engine using convolution-based preprocessing},
|
||||
author = {Sporici, Dan and Cușnir, Elena and Boiangiu, Costin-Anton},
|
||||
year = 2020,
|
||||
journal = {Symmetry},
|
||||
publisher = {MDPI},
|
||||
volume = 12,
|
||||
number = 5
|
||||
}
|
||||
@online{tessdoc,
|
||||
title = {Tesseract Documentation},
|
||||
url = {https://tesseract-ocr.github.io/},
|
||||
urldate = {2024-02-12},
|
||||
date = {2023-05-23},
|
||||
language = {eng}
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||||
@@ -139,25 +207,16 @@
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||||
date = {2023-05-23},
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||||
language = {eng}
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||||
}
|
||||
@article{asif2014overview,
|
||||
title = {An overview and applications of optical character recognition},
|
||||
author = {Asif, AMAM and Hannan, Shaikh Abdul and Perwej, Yusuf and Vithalrao, Mane Arjun},
|
||||
year = 2014,
|
||||
journal = {Int. J. Adv. Res. Sci. Eng},
|
||||
volume = 3,
|
||||
number = 7,
|
||||
@online{textract_home,
|
||||
title = {Amazon Textract - Homepage},
|
||||
url = {https://aws.amazon.com/textract},
|
||||
urldate = {2024-02-12},
|
||||
date = {2023-05-23},
|
||||
language = {eng}
|
||||
}
|
||||
@inbook{cc_platforms_comparison,
|
||||
title = {“Comparison of Different Cloud Computing Platforms for Data Analytics”},
|
||||
author = {Gupta, Urvashi and Sharma, Rohit},
|
||||
year = 2023,
|
||||
month = {09},
|
||||
doi = {10.1007/978-981-99-3716-5_7},
|
||||
isbn = {978-981-99-3715-8}
|
||||
}
|
||||
@online{tessdoc,
|
||||
title = {Tesseract Documentation},
|
||||
url = {https://tesseract-ocr.github.io/},
|
||||
@online{textract_pricing,
|
||||
title = {Amazon Textract - Pricing},
|
||||
url = {https://aws.amazon.com/textract/pricing/},
|
||||
urldate = {2024-02-12},
|
||||
date = {2023-05-23},
|
||||
language = {eng}
|
||||
@@ -173,72 +232,18 @@
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||||
keywords = {Amazon Web Services, Google Cloud Platform, Historical Documents, Microsoft Azure, Old Bailey, Optical Character Recognition},
|
||||
language = {English (US)}
|
||||
}
|
||||
@article{eikvil1993optical,
|
||||
title = {Optical character recognition},
|
||||
author = {Eikvil, Line},
|
||||
year = 1993,
|
||||
journal = {citeseer. ist. psu. edu/142042. html},
|
||||
volume = 26
|
||||
}
|
||||
@article{islam2017survey,
|
||||
title = {A survey on optical character recognition systems},
|
||||
author = {Islam, Islam, Noor},
|
||||
year = 2017,
|
||||
journal = {arXiv preprint arXiv:1710.05703}
|
||||
}
|
||||
@article{chowdhary2020natural,
|
||||
title = {Natural language processing},
|
||||
author = {Chowdhary, KR1442 and Chowdhary, KR},
|
||||
year = 2020,
|
||||
journal = {Fundamentals of artificial intelligence},
|
||||
publisher = {Springer},
|
||||
}
|
||||
@article{10.1145/219717.219778,
|
||||
title = {Commercial Applications of Natural Language Processing},
|
||||
author = {Church, Kenneth W. and Rau, Lisa F.},
|
||||
year = 1995,
|
||||
journal = {Commun. ACM},
|
||||
publisher = {Association for Computing Machinery},
|
||||
address = {New York, NY, USA},
|
||||
volume = 38,
|
||||
number = 11,
|
||||
doi = {10.1145/219717.219778},
|
||||
issn = {0001-0782},
|
||||
url = {https://doi.org/10.1145/219717.219778},
|
||||
numpages = 9
|
||||
}
|
||||
@article{kalyanathaya2019advances,
|
||||
title = {Advances in natural language processing: a survey of current research trends, development tools and industry applications},
|
||||
author = {Kalyanathaya, Krishna Prakash and Akila, D and Rajesh, P},
|
||||
year = 2019,
|
||||
journal = {International Journal of Recent Technology and Engineering},
|
||||
volume = 7,
|
||||
number = {5C},
|
||||
}
|
||||
@inproceedings{tong1996statistical,
|
||||
title = {A statistical approach to automatic OCR error correction in context},
|
||||
author = {Tong, Xiang and Evans, David A},
|
||||
year = 1996,
|
||||
booktitle = {Fourth workshop on very large corpora} % todo
|
||||
booktitle = {Fourth workshop on very large corpora}
|
||||
}
|
||||
@inproceedings{karpinski2018metrics,
|
||||
title = {Metrics for complete evaluation of ocr performance},
|
||||
author = {Karpinski, Romain and Lohani, Devashish and Belaid, Abdel},
|
||||
year = 2018,
|
||||
booktitle = {IPCV'18-The 22nd Int'l Conf on Image Processing, Computer Vision, \& Pattern Recognition}
|
||||
}
|
||||
@article{approximate_string_matching,
|
||||
title = {A Guided Tour to Approximate String Matching},
|
||||
author = {Navarro, Gonzalo},
|
||||
year = 2000,
|
||||
month = {04},
|
||||
journal = {ACM Computing Surveys},
|
||||
volume = 33,
|
||||
doi = {10.1145/375360.375365}
|
||||
}
|
||||
@inproceedings{levenshtein1966binary,
|
||||
title = {Binary codes capable of correcting deletions, insertions, and reversals},
|
||||
author = {Levenshtein} % todo
|
||||
@image{unimodal-histogram,
|
||||
title = {Histogram of tips given in a restaurant},
|
||||
author = {Wikimedia Commons},
|
||||
year = 2014,
|
||||
url = {https://commons.wikimedia.org/wiki/File:Tips-histogram1.png},
|
||||
urldate = {2024-02-12}
|
||||
}
|
||||
@inproceedings{wang2003word,
|
||||
title = {Is word error rate a good indicator for spoken language understanding accuracy},
|
||||
@@ -247,86 +252,21 @@
|
||||
booktitle = {2003 IEEE workshop on automatic speech recognition and understanding (IEEE Cat. No. 03EX721)},
|
||||
organization = {IEEE}
|
||||
}
|
||||
@inproceedings{park2008empirical,
|
||||
title = {An empirical analysis of word error rate and keyword error rate.},
|
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Reference in New Issue
Block a user