An intelligent system that extracts personal information from documents and performs facial recognition for identity verification.
Key Features
- Automatic document data extraction
- Facial recognition technology
- Supports multiple document types
- Accurate identity verification
Tech Stack
Java, OpenCV, Python
OCR Solution - Automating Document Processing
This intelligent system automates the extraction of personal information from documents while performing facial recognition to verify identity. By matching the security photo with the document photo, it ensures a high level of accuracy in the identity verification process. The system is designed to handle a wide variety of document types, providing flexibility and reliability across different use cases. The solution enhances security by reducing manual errors and streamlining the verification process. It is ideal for industries like banking, immigration, and law enforcement, where accurate and fast identity verification is crucial. With its advanced processing capabilities, this system delivers a secure, efficient, and scalable solution for identity management.
Key Problem
Ensuring the system could accurately extract and verify data from various document types posed a challenge. It required advanced OCR and facial recognition technologies to ensure both speed and accuracy in document processing.
Project Highlights
- ✔️ Automatic document data extraction
- ✔️ Facial recognition for identity verification
- ✔️ Real-time validation of multiple document types