iriserkenning

Iris recognition is a biometric identification method that uses the unique patterns of the iris, the colored part of the eye, to verify a person's identity. The iris possesses a complex and stable structure that develops early in life and remains largely unchanged throughout a person's lifetime. These intricate patterns, formed by tissue, blood vessels, and pigment, are highly distinctive, even between a person's two eyes.

The process of iris recognition typically involves capturing a high-resolution image of the iris using specialized infrared cameras. Algorithms then analyze this image to extract unique features, such as crypts, furrows, and collarettes. These extracted features are converted into a digital template, a mathematical representation of the iris pattern. For verification, a new iris image is captured, its features are extracted, and the resulting template is compared against the stored template in a database. A high degree of similarity between the templates confirms the identity of the individual. Iris recognition is known for its high accuracy and low false acceptance rates.