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.
- Version0.1.3
- R versionunknown
- LicenseMPL-2.0
- Needs compilation?Yes
- Last release08/17/2022
Documentation
Team
Jan Wijffels
Vrije Universiteit Brussel - DIGI: Brussels Platform for Digital Humanities
Show author detailsRolesCopyright holderBrandon M. Petty
Show author detailsRolesContributor, Copyright holder
Insights
Last 30 days
This package has been downloaded 197 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,740 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Aug 22, 2024 with 28 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports2 packages
- Linking To1 package