3 Commits (01406752d450a45cc40fd3368b26804f2a8d5657)

Author SHA1 Message Date
Eric Ihli 01406752d4 Update docs to describe ocr_image defaults
The example scripts now work with the included tessdata models.
4 years ago
Eric Ihli eb4e3d81b7 Clarify and expand on content around code 5 years ago
Eric Ihli 54511b9a1f Fix bugs and improve accuracy
Files in the ocr_to_csv module need to be named in a certain way.
Specify that and fix a bug, we need to have them sorted
lexicographically.

Don't dilate the characters in a cell in order to make a contiguous set
of pixels that we can find a contour around. The problem with that is
that you sometimes dilate too far and hit an image boundary and can't
erode back in. If a cell wall border was remaining between the text and
the image boundary, well now you're keeping that border line in the
image. (Unless you remove it some other way. So that might be a valid
option in the future.) The method we're using now instead is to group
all contours together and create a bounding box around all of them. The
problem with that is if there is any noise at all outside the text,
we're grabbing it. Before, we were dilating and taking the largest
contour, so we weren't including that noise. And we can't get rid of the
noise with opening morph because it's sometimes pretty big noise and
opening any bigger distorts the text so much that we lose accuracy in
finding those boundaries.

Also adds a shell script to simplify the plumbing of all these modules.
5 years ago