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: 0.1.3
Depends: R (≥ 4.0.0)
Imports: Rcpp, magick, grDevices
LinkingTo: Rcpp
Published: 2022-08-17
DOI: 10.32614/CRAN.package.image.binarization
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 <jwijffels at>
License: MPL-2.0
NeedsCompilation: yes
SystemRequirements: C++17
Materials: README NEWS
CRAN checks: image.binarization results


Reference manual: image.binarization.pdf


Package source: image.binarization_0.1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): image.binarization_0.1.3.tgz, r-oldrel (arm64): image.binarization_0.1.3.tgz, r-release (x86_64): image.binarization_0.1.3.tgz, r-oldrel (x86_64): image.binarization_0.1.3.tgz
Old sources: image.binarization archive


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