Binarize Images for Enhancing Optical Character Recognition
Overview
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.
- Change of maintainer email address
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-04-22
- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-03-10
Documentation
- 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
Repository
- 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
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Checks run against github.com/digi-vub/image.binarization on 2026-10-22.
No development-tooling practices detected in the upstream repository.
Dependencies
Code & Tests
People & History
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
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citation("image.binarization")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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