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Brain: Broad Research in Artificial Intelligence and Neuroscience
Article . 2023 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Article . 2024
License: CC BY
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Document Image Binarization Process

Authors: Marcel Prodan; Costin-Anton Boiangiu;

Document Image Binarization Process

Abstract

Technology has made significant strides in recent years, which accounts for how pervasive it is in our daily lives. In order to address the fundamental issue with historical document preservation, namely their degeneration, this work suggests using new technology. The method is built on pieces of artificial intelligence that can read the writing from a page and recognize the useful information, converting it into a digital version. Contrary to photographing or scanning, binarizing a document is a considerably more effective method, both in terms of quality—the legibility of the writing—and quantity—the amount of memory needed to retain the resulting image. According to common assessment measures, the suggested fully convolutional network manages to deliver results that are comparable to those of other solutions of a similar nature.

Keywords

fully convolutional network, image binarization, deep neural network, convolutional neural network, artificial intelligence

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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
Green
gold