Handwritten Cheque Processor with signature verification
Project Overview
An advanced AI-driven solution for precise extraction and verification of key fields and signature from handwritten cheques. Equipped with state-of-the-art OCR technology and a robust signature verification module, this system ensures accurate data capture and fraud detection, significantly enhancing operational efficiency and reducing manual intervention. Designed for seamless integration, it delivers a transformative approach to cheque processing in demanding business environments.
Project Showcase
Key Features
- The fields are filled via handwriting
- The amount in numbers and amount in words is matched
- Confidence score is given to each field
- Can be deployed on standalone machine
Technologies Used
- Optical Character Recognition (OCR)
- Machine Learning for handwriting recognition
- Image processing techniques
- Natural Language Processing for amount verification
- Neural Networks for Signature verification
Benefits
- Automates cheque processing, reducing manual effort
- Improves accuracy in data extraction
- Speeds up transaction processing times
- Reduces errors in cheque processing
Project Status
This solution has been successfully demonstrated to a leading PSU Indian Bank
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