image.binarization: Binarize Images for Enhancing Optical Character Recognition

Improve optical character recognition by binarizing images. The package focuses primarily on local adaptive thresholding algorithms. In English, this means that it has the ability to turn a color or gray scale image into a black and white image. This is particularly useful as a preprocessing step for optical character recognition or handwritten text recognition.

Version:	0.1.2
Depends:	R (≥ 4.0.0)
Imports:	Rcpp, magick, grDevices
LinkingTo:	Rcpp
Published:	2021-07-05
Author:	Jan Wijffels [aut, cre, cph] (R wrapper), Vrije Universiteit Brussel - DIGI: Brussels Platform for Digital Humanities [cph] (R wrapper), Brandon M. Petty [ctb, cph] (Files in src/Doxa)
Maintainer:	Jan Wijffels <jan.wijffels at vub.be>
License:	MPL-2.0
URL:	https://github.com/DIGI-VUB/image.binarization
NeedsCompilation:	yes
SystemRequirements:	C++17
Materials:	README NEWS
CRAN checks:	image.binarization results

Documentation:

Reference manual:

image.binarization.pdf

Downloads:

Package source:	image.binarization_0.1.2.tar.gz
Windows binaries:	r-devel: image.binarization_0.1.2.zip, r-release: image.binarization_0.1.2.zip, r-oldrel: image.binarization_0.1.2.zip
macOS binaries:	r-release (arm64): image.binarization_0.1.2.tgz, r-oldrel (arm64): image.binarization_0.1.2.tgz, r-release (x86_64): image.binarization_0.1.2.tgz, r-oldrel (x86_64): image.binarization_0.1.2.tgz
Old sources:	image.binarization archive

Linking:

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