Company onboarding: New hires, especially at larger organizations, will need to sign a letter of acceptance, offer letter, and/or nondisclosure agreement, among other documents.Businesses that make purchases, however, must complete sales contracts and other paperwork. Sales and procurement: Many consumers have already shifted from in-store to e-commerce purchases.The signatures in those images can be extracted for verification. Once the contracts and legal documents are signed and shared across multiple cities or countries, they are normally converted to digital images. Real estate: Buying and selling property requires a lot of paperwork.Banks: Banks rely on signature verification, where an extracted signature is validated against a ground truth to confirm that it’s from the same person.The following are some use cases for signature extraction:
This helps save the time and effort of printing, scanning, emailing, and making changes to documents. As more businesses transition to online platforms, they’re also switching from manually handled verification tasks to signature extraction, which is becoming increasingly accurate. Then, the signature can be used for validating the person’s identity, Know Your Customer (KYC) processing services, or contract and agreement processing.īanking and finance services especially rely on signatures to verify a person’s identity. ML or computer vision models can extract that signature no matter how many times it is present in a document.
First, a signature must be detected and cropped out of the document. Signature extraction is the technique of automatically identifying the signatures in a scanned document and cropping them to use for different verification purposes. In this tutorial, you will learn how to create a system that can extract document signatures. ML technologies like intelligent character recognition (ICR) and natural language processing (NLP) are helping organizations to capture data from documents and process them without the risk of human error.ĭocument processing isn’t limited to extracting text, though it also involves images and signatures. One emerging field is online document processing, which is used by banking, insurance, healthcare, and other industries to save the time and effort of manual data verification. In the machine learning (ML) era, everything from language generation to image processing is becoming automated.
0 kommentar(er)
