Handwritten and Printed Document Classification using Image Processing & Machine Learning for Banking, Finance & Insurance Domains
Handwritten & Partially Handwritten Documents are one of the challenging area for the OCRs to extract the entities out of the various types of Application forms available in the Scanned PDFs formats within the Banking, Finance & Insurance Industry.
Handwritten & Partially Handwritten Documents are one of the challenging area for the OCRs to extract the entities out of the various types of Application forms available in the Scanned PDFs formats within the Banking, Finance & Insurance Industry.
This Particular non detection of the text from the Scanned PDFs later halts the proper predictions of the documents via the various Machine Learning & Deep Learning Algorithms used for Document Classification & Entity Extractions (Text/Signatures/CheckBox/Radio Buttons etc.) which in turns reduces the overall accuracy of the Machine Learning Model in the production environment.
Deep Learning Based Approach & Challenges
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