Restful APIs for Signature Extraction and Matching
Signature Extraction
Signature extraction is a process of detecting one or more signatures and locating their positions within a document. The location coordinates are used to crop the sections of the document to extract signature portions.
We made it very simple to extract signatures. Simply call the secure extraction API with the scanned document (in image format, such as png, jpg, jpeg, and tiff). The API will return the locations of all signatures found and the confidence scores.
Signature Matching
Signature matching is a process of finding the similarity between two signature images and calculating a matching score. Our neural network-based model is capable of removing the background noise, resizing them, and correcting the orientation of one signature compared to the other, before performing the matching.
Getting the match score from the API is very simple. Pass two images to the API and receive the matched score (between 0 and 1 — 1 being the best match and 0 for no match).
Applications of Signature Extraction and Matching
Signature matching ML models can be useful for various industries and businesses where signature verification is important. Some examples include:
- Banking and Financial Services: Banks and financial institutions can use signature matching ML models to verify signatures on checks, loan applications, and other financial documents.
- Government Agencies: Government agencies such as immigration, law enforcement, and security services can use signature matching ML models to authenticate identity documents, passports, and visas.
- Healthcare: Healthcare providers can use signature matching ML models to verify signatures on medical forms, prescriptions, and other documents.
- Insurance: Insurance companies can use signature matching ML models to verify signatures on claim forms, policy applications, and other documents.
- Legal Services: Law firms and legal services can use signature matching ML models to verify signatures on contracts, legal agreements, and other legal documents.
- Logistics and Transportation: Logistics and transportation companies can use signature matching ML models to verify signatures on shipping and delivery documents, reducing the risk of fraudulent activities.
- Retail and E-commerce: Retailers and e-commerce businesses can use signature matching ML models to verify signatures on delivery receipts and other important documents related to shipping and receiving products.
- Real Estate: Real estate agents and companies can use signature matching ML models to verify signatures on contracts and agreements related to buying and selling properties.
- Education: Educational institutions can use signature matching ML models to verify signatures on student forms, transcripts, and other important documents related to academic records.
- Human Resources: Human resources departments can use signature matching ML models to verify signatures on employment contracts, job offers, and other HR-related documents.
Ready To Embrace The Future
By using our signature matching API, your organization can save time and reduce the risk of fraud, all while remaining compliant with important regulations and industry standards. So why not give it a try and experience the benefits for yourself?