AI-Powered Signature Verification System for Banking

We developed an AI-powered signature verification system that automates the validation of thousands of scanned, manually signed documents, streamlining processes for financial institutions while maintaining top-tier security and accuracy
Industry
FinTech
Client
Under NDA
Region
Ukraine
Year
2025
Technologies:





Business Impacts
- Automated 95% of signature verifications, significantly reducing the need for manual labor
- Accelerated document processing, cutting turnaround times and boosting operational efficiency
- Enhanced fraud prevention through accurate and secure verification methods
- Lowered operational costs, allowing resource reallocation to higher-value tasks
Technical Highlights
- AI-driven signature processing: automatically identifies, extracts, and rotates signatures from document scans using AWS Textract
- Machine learning verification: leveraged TensorFlow for high-precision signature comparisons against reference samples, ensuring authenticity
- Human-in-the-loop workflow: designed a pipeline to flag and route uncertain cases to human reviewers for final verification
- Secure storage & processing: built a secure system for storing reference signatures and managing signature data, fully integrated with AWS services
- Scalable architecture: developed a robust and scalable processing pipeline hosted on AWS, enabling seamless handling of large volumes of documents
- CI/CD efficiency: streamlined deployments and updates using Docker, ensuring consistent and reliable operations


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