Need a short guide of layout detection and line detection
longwall opened this issue · 3 comments
Hello,
I have a large collection of scans of written text in table forms with complex layout structure and printed only vertical borders.
My plan the a segmentation table rows cell by cell ,line detection inside each cell and then a trial of recognition.
I passed through dhSegment demo,it'sok but met problems with operations.
Could you please provide any examples of use cases described in the overview https://dhlab-epfl.github.io/dhSegment/ ?
I'm ready to label training dataset from my collection but cannot get a start. Any notebook or video guide?
One more question is about READ-BAD dataset that was suggested in a couple of issues discussions. I see the article PDF in arxive.org but didn't find a link to download the image collection. What did I miss?
Hello,
Sorry for the long delayed answer...
Here is a jupyter notebook we've made to show how to go through page and text lines extraction. Also this notebook on dropcap extraction may help.
Regarding the READ-BAD dataset you can find it on Zenodo: https://zenodo.org/record/1491441
Hello,
thanks for reply - and thanks for the tutorial! I'll try it very soon.
As I understood it can vectorize lines of written text? Is it related to your adjacent project ARU-NET with the underlining of written text?
I've just played a copy of your notebook.
It's really cool, thank you very much!
I'll move towards lines and words segmentation - finding their convex (maybe rectangular) envelope.
Looks not so hard at first view.. )