Create an OCR engine for a given language and control parameters. This can be used by the ocr and ocr_data functions to recognize text.
Usage
tesseract(
language = "eng",
datapath = NULL,
configs = NULL,
options = NULL,
cache = TRUE
)
tesseract_params(filter = "")
tesseract_info()Arguments
- language
string with language for training data. Usually defaults to
eng- datapath
path with the training data for this language. Default uses the system library.
- configs
character vector with files, each containing one or more parameter values. These config files can exist in the current directory or one of the standard tesseract config files that live in the tessdata directory. See details.
- options
a named list with tesseract parameters. See details.
- cache
speed things up by caching engines
- filter
only list parameters containing a particular string
Value
no return value, called for side effects
no return value, called for side effects
list with information about the tesseract engine
Details
Tesseract control parameters can be set either via a named list in the
options parameter, or in a config file text file which contains the parameter name
followed by a space and then the value, one per line. Use tesseract_params() to list
or find parameters. Note that that some parameters are only supported in certain versions
of libtesseract, and that invalid parameters can sometimes cause libtesseract to crash.
See also
Other tesseract:
ocr(),
tesseract_download()
Examples
tesseract_params("smooth")
#> # A tibble: 4 × 3
#> param default desc
#> * <chr> <chr> <chr>
#> 1 textord_skewsmooth_offset 4 For smooth factor
#> 2 textord_skewsmooth_offset2 1 For smooth factor
#> 3 textord_wordstats_smooth_factor 0.05 Smoothing gap stats
#> 4 thresholding_smooth_kernel_size 0 Size of convolution kernel applied to…