Improved signature matching
accuracy by 40%
efficiency by 30%
Increase in online
compliance by 25%
The customer is an Indian Banking and Financial Services Company that deals with a large volume of documents that require signature verification. They were looking for a solution that could automate the signature matching process and improve the accuracy of the results.
Developing a signature matching solution that accurately extracts and matches signatures from various document types. The solution needed to be scalable and customizable to accommodate the customer’s evolving needs.
CriticalRiver collaborated with a data engineering and AI/ML platform to develop Momentum-powered AI-driven RESTFUL APIs for Signature Matching. The solution consists of two-way processes: signature extraction and matching. The extraction process involves detecting signatures and locating their positions in a document. To extract signatures, users call the secure extraction API with a scanned image. The API returns the locations and confidence scores of all signatures found. The matching process involves finding similarities between two signature images, removing background noise, resizing signatures, and correcting their orientation.
Momentum-powered AI-driven RESTFUL APIs, Neural network-based model, Secure extraction API, and Scalable and customizable solution
The solution developed by CriticalRiver and the data engineering and AI/ML platform improved signature matching accuracy by 40%, reduced processing time for signature extraction and matching, and provided a customizable and scalable solution.