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Iris recognition works by capturing an image and encoding the unique properties (approximately 240 features per iris) to create a biometric template for searching and matching.
Iris recognition is a biometric modality that compares the unique characteristics and patterns of the colored part of the eye to verify and authenticate an individual’s identity. Similar to fingerprint matching, iris recognition is more accurate and doesn’t require physical contact, offering more use cases, including the ability to operate at further distances than fingerprints or palm prints.