Package: image.binarization
Type: Package
Title: Binarize Images for Enhancing Optical Character Recognition
Version: 0.1.1
Maintainer: Jan Wijffels <jan.wijffels@vub.be>
Authors@R: c(
    person('Jan', 'Wijffels', role = c('aut', 'cre', 'cph'), email = 'jan.wijffels@vub.be', comment = "R wrapper"), 
    person('Vrije Universiteit Brussel - DIGI: Brussels Platform for Digital Humanities', role = 'cph', comment = "R wrapper"),
    person('Brandon M. Petty', role = c('ctb', 'cph'), comment = "Files in src/Doxa"))
Description: 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.
License: MPL-2.0
URL: https://github.com/DIGI-VUB/image.binarization
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: Rcpp, magick, grDevices
LinkingTo: Rcpp
RoxygenNote: 7.1.0
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2020-07-30 16:14:11 UTC; Jan
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)
Repository: CRAN
Date/Publication: 2020-07-31 01:00:11 UTC
Built: R 4.0.2; x86_64-w64-mingw32; 2020-08-02 02:06:15 UTC; windows
Archs: i386, x64
