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It would be good to have a classifier internally which can distinguish blocks as handwritten or printed text. This is useful because most of the documents that I have seen has both the elements and while sometimes handwritten is important that the treatment of handwritten data is done differently than printed text data.
Motivation, pitch
I am working on extracting text from medical documents which has some parts such as hospital and doctor details as printed text and medicine name and dosage as hand written text. I would want to be able to treat them differently while running text extraction.
We are internally working on handwritten text recognition, it could indeed be useful to work as well on a classifier to determine the type of the text above the text recognition model.
@charlesmindee we're keenly interested in the handwritten text recognition feature as well. Has there been any progress or can you provide an estimated timeline?
🚀 The feature
It would be good to have a classifier internally which can distinguish blocks as handwritten or printed text. This is useful because most of the documents that I have seen has both the elements and while sometimes handwritten is important that the treatment of handwritten data is done differently than printed text data.
Motivation, pitch
I am working on extracting text from medical documents which has some parts such as hospital and doctor details as printed text and medicine name and dosage as hand written text. I would want to be able to treat them differently while running text extraction.
Alternatives
No response
Additional context
https://github.com/awslabs/handwritten-text-recognition-for-apache-mxnet
No response
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