Comments (1)
Well there's no out of the box way to do it, but you should be able to use BoxDetect to search for boxes and combine that with results from some OCR tool like Tesseract and just set some rules/logic, like: for every given check box/text box detected with BoxDetect, take it's coordinates and search through OCR results to find the nearest text detected on the left hand side of that check box/text box
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Related Issues (20)
- As a user I want to automatically get optimal configuration based on provided ground truth
- AttributeError: module 'boxdetect.config' has no attribute 'update_num_iterations'
- Strategies for getting accurate checkboxes on documents with Serif Font HOT 3
- Is there way to extract coordinates HOT 3
- challenging case on checkbox crossing outside box HOT 2
- Failed detection of cropped image HOT 2
- checkbox detect fails with sloppy crosses HOT 7
- Cumulative results? HOT 2
- Removing noise while preserving the boundary of the checkbox HOT 4
- Not detecting all the boxes HOT 1
- Default config for vertical grouping has bad results for vertically aligned checkboxes HOT 2
- New release for scikit-learn installation HOT 3
- Failure in UnitTests HOT 1
- Which configurations should I use?
- Can't detect table cells
- using boxdetect in a lambda errors due to GUI artifacts
- AttributeError: module 'boxdetect.config' has no attribute 'update_num_iterations'. Did you mean: 'dilation_iterations'? HOT 1
- Add missing docstrings
- Add full tests coverage
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