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: | 0.1.1 |
| Depends: | R (≥ 4.0.0) |
| Imports: | Rcpp, magick, grDevices |
| LinkingTo: | Rcpp |
| Published: | 2020-07-31 |
| 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 |
| Reference manual: | image.binarization.pdf |
| Package source: | image.binarization_0.1.1.tar.gz |
| Windows binaries: | r-devel: image.binarization_0.1.1.zip, r-release: image.binarization_0.1.1.zip, r-oldrel: not available |
| macOS binaries: | r-release: image.binarization_0.1.1.tgz, r-oldrel: not available |
| Old sources: | image.binarization archive |
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