To sort the scanned document image I have to determine the class of document. But no of classes of image will keep on adding even after training. So at time of inference first I will detect unseen class of image(which I have ideas based on openMax and other SoftMax algorithm). But for unseen class "how I can predict the correct label for this unseen and untrained class of scanned image"?
- Starting by selecting the right template for the document;
- Adding some metadata to the template like the project number, project manager, client, among many other things;
- Printing document pending signatures;
- Acquiring necessary signatures;
- Scanning the document to PDF and assign it to the project manager;
- Based on the document type it then should be placed under the right department folder.
Dear Kumar Manas ,
In many business scenarios, an essential daily task is scanning, classifying and extracting key information from printed documents. At PwC Italy, auditors and lawyers dedicate a great deal of time to classifying documents before they can glean any insight from them.
https://picampus-school.com/automatic-document-classification-ai/
Regards,
Shafagat
Have a look at https://karim-ouda.medium.com/tutorial-document-classification-using-weka-aa98d5edb6fa
https://www.youtube.com/watch?v=_eSGWNqKeeY
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