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Article . 2022
License: CC BY NC
Data sources: Datacite
ZENODO
Article . 2022
License: CC BY NC
Data sources: Datacite
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Digitalization of Old Documents

Authors: Radhika Gupta; Sami M K; Aniket Artani; Sagar Shah;

Digitalization of Old Documents

Abstract

The term "information" has been used with many various meanings throughout the previous decade, one of which is "information as a thing," which refers to bits, bytes, papers, books, and other physical media. In this perspective, information is a synonym for a broad view of a document, and a document can be regarded as a representation of human thinking or original data is written, drawn, sketched, presented, printed, scanned, or copied form. Information stored on the documents is of high value, but the task of retrieving the data from them becomes tedious. OCR is used to scan and retrieve data these days but the OCR accuracy is likely to be poorer if the image is of poor quality. Low OCR accuracy necessitates the use of additional algorithms to improve the image or post-processing algorithms to correct the problem.

Keywords

OCR, image binarization, digitalization

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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