Iris recognition measures over how many different characteristics in a person's eyeball?

Iris recognition technology is advanced and relies on the unique patterns in the iris, which is the colored part of the eye. Each individual's iris contains a multitude of distinct features that can be utilized for identification purposes. The number of characteristics measured during iris recognition typically exceeds 200, which includes various elements such as furrows, rings, and highlights that contribute to the uniqueness of a person's iris.

This high level of detail is what makes iris recognition a highly reliable biometric authentication method. The ability to analyze and distinguish among numerous characteristics allows for accurate identification even in diverse conditions.

Options that suggest fewer characteristics do not capture the complexity and richness of iris data utilized in biometric systems, thereby making them less accurate or reliable compared to the technological standards in place today.