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image.textlinedetector
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Download and install image.textlinedetector package within the R console
Install from CRAN:
install.packages("image.textlinedetector")
Install from Github:
library("remotes")
install_github("cran/image.textlinedetector")
Install by package version:
library("remotes")
install_version("image.textlinedetector", "0.2.3")
Attach the package and use:
library("image.textlinedetector")
Maintained by
Jan Wijffels
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-15
Latest Update: 2022-10-17
Description:
Find text lines in scanned images and segment the lines into words.
Includes implementations of the paper 'Novel A* Path Planning Algorithm for Line Segmentation of Handwritten Documents' by Surinta O. et al (2014) available at ,
an implementation of 'A Statistical approach to line segmentation in handwritten documents' by Arivazhagan M. et al (2007) ,
and a wrapper for an image segmentation technique to detect words in text lines as described in the paper 'Scale Space Technique for Word Segmentation in Handwritten Documents' by Manmatha R. and Srimal N. (1999) paper at , wrapper for code available at .
Provides as well functionality to put cursive text in images upright using the approach defined in the paper 'A new normalization technique for cursive handwritten words' by Vinciarelli A. and Luettin J. (2001) .
How to cite:
Jan Wijffels (2020). image.textlinedetector: Segment Images in Text Lines and Words. R package version 0.2.3, https://cran.r-project.org/web/packages/image.textlinedetector. Accessed 02 Feb. 2025.
Previous versions and publish date:
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Complete documentation for image.textlinedetector
Functions, R codes and Examples using
the image.textlinedetector R package
Some associated functions: image_textlines_astar . image_textlines_crop . image_textlines_flor . image_wordsegmentation . lines.textlines . ocv_deslant .
Some associated R codes: RcppExports.R . deslant.R . pkg.R . textlinedetector.R . Full image.textlinedetector package functions and examples
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