Which OCR toolset is good and why : A comparative study

Optical Character Recognition (OCR) is a very active research area in many scientific disciplines like pattern recognition, natural language processing (NLP), computer vision, biomedical informatics, machine learning and artificial intelligence. This computational technology extracts the text in ed...

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Main Authors: Pooja Jain, Kavita Taneja, Harmunish Taneja
Format: Article
Language:English
Published: Elsevier 2021-04-01
Series:Kuwait Journal of Science
Subjects:
Online Access:https://journalskuwait.org/kjs/index.php/KJS/article/view/9589
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author Pooja Jain
Kavita Taneja
Harmunish Taneja
author_facet Pooja Jain
Kavita Taneja
Harmunish Taneja
author_sort Pooja Jain
collection DOAJ
description Optical Character Recognition (OCR) is a very active research area in many scientific disciplines like pattern recognition, natural language processing (NLP), computer vision, biomedical informatics, machine learning and artificial intelligence. This computational technology extracts the text in editable format ( MS Word/Excel, text files etc.) from  PDF files, scanned  or hand-written documents, images ( photographs, advertisements etc.) for further processing and has been utilized in many real world applications including banking, education, insurance, finance, healthcare and keyword based search in documents etc. Many OCR toolsets are available under various categories including open source, proprietary and online services. This research paper provides a comparative study of various OCR toolsets considering a variety of parameters.
format Article
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institution Kabale University
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language English
publishDate 2021-04-01
publisher Elsevier
record_format Article
series Kuwait Journal of Science
spelling doaj-art-31f736c866d446ff9d368777c2ee5c572025-08-20T03:24:56ZengElsevierKuwait Journal of Science2307-41082307-41162021-04-0148210.48129/kjs.v48i2.9589Which OCR toolset is good and why : A comparative studyPooja Jain0Kavita Taneja1Harmunish Taneja2Panjab University, ChandigarhPanjab University, ChandigarhDAV college, Sector-10, Chandigarh Optical Character Recognition (OCR) is a very active research area in many scientific disciplines like pattern recognition, natural language processing (NLP), computer vision, biomedical informatics, machine learning and artificial intelligence. This computational technology extracts the text in editable format ( MS Word/Excel, text files etc.) from  PDF files, scanned  or hand-written documents, images ( photographs, advertisements etc.) for further processing and has been utilized in many real world applications including banking, education, insurance, finance, healthcare and keyword based search in documents etc. Many OCR toolsets are available under various categories including open source, proprietary and online services. This research paper provides a comparative study of various OCR toolsets considering a variety of parameters. https://journalskuwait.org/kjs/index.php/KJS/article/view/9589ABBYY finereaderCalamariGoogle DocsOCRTesseract
spellingShingle Pooja Jain
Kavita Taneja
Harmunish Taneja
Which OCR toolset is good and why : A comparative study
Kuwait Journal of Science
ABBYY finereader
Calamari
Google Docs
OCR
Tesseract
title Which OCR toolset is good and why : A comparative study
title_full Which OCR toolset is good and why : A comparative study
title_fullStr Which OCR toolset is good and why : A comparative study
title_full_unstemmed Which OCR toolset is good and why : A comparative study
title_short Which OCR toolset is good and why : A comparative study
title_sort which ocr toolset is good and why a comparative study
topic ABBYY finereader
Calamari
Google Docs
OCR
Tesseract
url https://journalskuwait.org/kjs/index.php/KJS/article/view/9589
work_keys_str_mv AT poojajain whichocrtoolsetisgoodandwhyacomparativestudy
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