Iris Recognition

Iris recognition is a highly accurate biometric technology used in artificial intelligence and security systems to identify individuals based on the unique, complex patterns found in the iris of the eye. The process typically involves capturing a high-resolution image of the eye using near-infrared light, followed by image processing steps such as localization, normalization, and feature encoding. AI models, specifically those utilizing Gabor filters or deep learning architectures, convert these patterns into a digital template for comparison. Because iris patterns are stable and unique even between identical twins, it is widely used for border control, national ID systems, and secure access control.