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.


Reference manual

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0.1.2 by Jan Wijffels, 7 months ago

Browse source code at

Authors: 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)

Documentation:   PDF Manual  

MPL-2.0 license

Imports Rcpp, magick, grDevices

Linking to Rcpp

System requirements: C++17

See at CRAN