Which OCR toolset is good and why ? : a comparative study
Joint Authors
Taneja, Kavita
Taneja, Harmunish
Jain, Pooja
Source
Issue
Vol. 48, Issue 2 (30 Apr. 2021), pp.1-12, 12 p.
Publisher
Kuwait University Academic Publication Council
Publication Date
2021-04-30
Country of Publication
Kuwait
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
Optical Character Recognition (OCR) is a very active research area in many challenging fields like pattern recognition, natural language processing (NLP), computer vision, biomedical informatics, machine learning (ML), and artificial intelligence (AI).
This computational technology extracts the text in an editable format (MS Word/Excel, text files, etc.) from PDF files, scanned or hand-written documents, images (photographs, advertisements, and alike), 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.
American Psychological Association (APA)
Jain, Pooja& Taneja, Kavita& Taneja, Harmunish. 2021. Which OCR toolset is good and why ? : a comparative study. Kuwait Journal of Science،Vol. 48, no. 2, pp.1-12.
https://search.emarefa.net/detail/BIM-1500397
Modern Language Association (MLA)
Jain, Pooja…[et al.]. Which OCR toolset is good and why ? : a comparative study. Kuwait Journal of Science Vol. 48, no. 2 (Apr. 2021), pp.1-12.
https://search.emarefa.net/detail/BIM-1500397
American Medical Association (AMA)
Jain, Pooja& Taneja, Kavita& Taneja, Harmunish. Which OCR toolset is good and why ? : a comparative study. Kuwait Journal of Science. 2021. Vol. 48, no. 2, pp.1-12.
https://search.emarefa.net/detail/BIM-1500397
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 11-12
Record ID
BIM-1500397