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image.binarization  

Binarize Images for Enhancing Optical Character Recognition
View on CRAN: Click here


Download and install image.binarization package within the R console
Install from CRAN:
install.packages("image.binarization")

Install from Github:
library("remotes")
install_github("cran/image.binarization")

Install by package version:
library("remotes")
install_version("image.binarization", "0.1.3")



Attach the package and use:
library("image.binarization")
Maintained by
Jan Wijffels
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-07-27
Latest Update: 2022-08-17
Description:
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.
How to cite:
Jan Wijffels (2020). image.binarization: Binarize Images for Enhancing Optical Character Recognition. R package version 0.1.3, https://cran.r-project.org/web/packages/image.binarization. Accessed 07 Nov. 2024.
Previous versions and publish date:
0.1.0 (2020-07-27 14:30), 0.1.1 (2020-07-31 03:00), 0.1.2 (2021-07-05 11:20)
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Complete documentation for image.binarization
Functions, R codes and Examples using the image.binarization R package
Some associated functions: image_binarization . 
Some associated R codes: RcppExports.R . image_binarization.R . pkg.R .  Full image.binarization package functions and examples
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