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image.binarization

0.1.3Package record

Binarize Images for Enhancing Optical Character Recognition

0packages depend
2.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Changes in 0.1.3
  • Change of maintainer email address

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.5 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.3
READMEYes · 257 wordsVignettesNoNEWSYes · 100% structured · mentions 0.1.3Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
1
Examples that run
100%1 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.6K
CRAN downloads in the past year
Rank #18,334 · ~7/day · ~218/mo
Daily download trend is not available in this view yet.
21930 days
71490 days
2.6K1 year
Compare downloads with other packages →
Also on561 r2u5 autocran

Repository

22Stars
2Forks
1Open issues
0Open PRs
3Releases
25Commits
1Commit identities
License file reads as MPL-2.0 · 25 commits · Last activity 2022-08-17 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
0
Median days to close, 50 most recently updated closed PRs
not measured

Stars over time

2025-09-21 · 212026-07-07 · 22
PracticesBeta

Checks run against github.com/digi-vub/image.binarization on 2026-10-22.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing image.binarization adds 4 packages (4 with compiled code, 7.2 MB of source tarballs). Heaviest: magick 4.4 MB, Rcpp 1.8 MB, curl 714 KB.

Depends (1)
R >= 4.0.0
Imports (3)
RcppmagickgrDevices
LinkingTo (1)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (3)
Author, Maintainer since 0.1.0 (2020), Copyright holder
R wrapper
Contributor, Copyright holder
Files in src/Doxa
Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.3Latest
    record
    2022-08-17 · current release · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.2
    record
    2021-07-05 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.1
    record
    2020-07-31 · diff ↗
  • 0.1.0
    record
    2020-07-27
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-07-27
Total releases
4 / 6 yrs
License
MPL-2.0 OSI
Minimum R
≥ 4.0.0
Download size
1.2 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("image.binarization")
Wijffels, J., Brandon M. Petty, & Vrije Universiteit Brussel - DIGI: Brussels Platform for Digital Humanities. (2022). image.binarization: Binarize Images for Enhancing Optical Character Recognition (Version 0.1.3) [Computer software]. https://doi.org/10.32614/CRAN.package.image.binarization

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for image.binarization version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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