Package: image.binarization 0.1.3

Jan Wijffels

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.

Authors:Jan Wijffels [aut, cre, cph], Vrije Universiteit Brussel - DIGI: Brussels Platform for Digital Humanities [cph], Brandon M. Petty [ctb, cph]

image.binarization_0.1.3.tar.gz
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image.binarization_0.1.3.tgz(r-4.4-x86_64)image.binarization_0.1.3.tgz(r-4.4-arm64)image.binarization_0.1.3.tgz(r-4.3-x86_64)image.binarization_0.1.3.tgz(r-4.3-arm64)
image.binarization_0.1.3.tar.gz(r-4.5-noble)image.binarization_0.1.3.tar.gz(r-4.4-noble)
image.binarization_0.1.3.tgz(r-4.4-emscripten)image.binarization_0.1.3.tgz(r-4.3-emscripten)
image.binarization.pdf |image.binarization.html
image.binarization/json (API)
NEWS

# Install 'image.binarization' in R:
install.packages('image.binarization', repos = c('https://digi-vub.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/digi-vub/image.binarization/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

4.17 score 21 stars 14 scripts 251 downloads 1 exports 4 dependencies

Last updated 2 years agofrom:d1ac1b5f8e. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-win-x86_64OKNov 22 2024
R-4.5-linux-x86_64OKNov 22 2024
R-4.4-win-x86_64OKNov 22 2024
R-4.4-mac-x86_64OKNov 22 2024
R-4.4-mac-aarch64OKNov 22 2024
R-4.3-win-x86_64OKNov 22 2024
R-4.3-mac-x86_64OKNov 22 2024
R-4.3-mac-aarch64OKNov 22 2024

Exports:image_binarization

Dependencies:curlmagickmagrittrRcpp