worldcoin/open-iris

What it solves

IRIS is designed for robust and secure biometric verification by identifying individuals based on the unique patterns within the iris of the eye. It provides a pipeline for large-scale verification, capable of confirming the uniqueness of individuals among billions of users.

How it works

The system follows a multi-step computer vision and machine learning pipeline:

1. Iris Image Input: Accepts an image of an eye.
2. Iris Segmentation: Isolates the iris region from the rest of the image.
3. Feature Extraction: Extracts unique features from the iris to create a biometric template (iris code).
4. Scalable Matching: Compares the extracted features against others to verify uniqueness with a confidence score.

Who it’s for

Developers and researchers interested in biometric authentication, secure identity verification, and high-performance iris recognition systems.

Highlights

• Large-Scale Capability: Engineered to handle verification across billions of users.
• High-Performance Segmentation: Precise isolation of the iris for accurate feature extraction.
• Scalable Matching: A robust algorithm designed for speed and accuracy at scale.
• Modular Design: Organized into specific modules for I/O, orchestration, and pipeline nodes for easier customization.