Package: image.binarization 0.1.3
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:
image.binarization_0.1.3.tar.gz
image.binarization_0.1.3.zip(r-4.7)image.binarization_0.1.3.zip(r-4.6)image.binarization_0.1.3.zip(r-4.5)
image.binarization_0.1.3.tgz(r-4.6-x86_64)image.binarization_0.1.3.tgz(r-4.6-arm64)image.binarization_0.1.3.tgz(r-4.5-x86_64)image.binarization_0.1.3.tgz(r-4.5-arm64)
image.binarization_0.1.3.tar.gz(r-4.7-arm64)image.binarization_0.1.3.tar.gz(r-4.7-x86_64)image.binarization_0.1.3.tar.gz(r-4.6-arm64)image.binarization_0.1.3.tar.gz(r-4.6-x86_64)
image.binarization_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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')) |
Bug tracker:https://github.com/digi-vub/image.binarization/issues
Last updated from:d1ac1b5f8e. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 128 | ||
| linux-devel-x86_64 | OK | 120 | ||
| source / vignettes | OK | 154 | ||
| linux-release-arm64 | OK | 147 | ||
| linux-release-x86_64 | OK | 145 | ||
| macos-release-arm64 | OK | 128 | ||
| macos-release-x86_64 | OK | 261 | ||
| macos-oldrel-arm64 | OK | 97 | ||
| macos-oldrel-x86_64 | OK | 213 | ||
| windows-devel | OK | 94 | ||
| windows-release | OK | 84 | ||
| windows-oldrel | OK | 98 | ||
| wasm-release | OK | 137 |
Exports:image_binarization
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Binarize Images For Enhancing Optical Character Recognition | image_binarization |
