The human eye structure is composed of sclera, iris and pupil, and iris is a circular part between the black pupil and the white sclera, which contains many intertwined detailed features like spots, filaments, crowns, stripes, recesses, etc., and these features can identify a person's identity. Iris recognition technology identifies people's identity by comparing the similarity between iris image features.
Eyecool iris algorithm meets the demands of monocular and binocular iris recognition, supports iris quality detection and liveness detection, and can carry out 0-1.5m iris acquisition and recognition. It is suitable for identity verification applications in various industries such as finance, military, public security, education, social security, etc.
Iris image complies with international standard ISO/IEC 19794-6.
Millisecond leve response, and the pass rate is above 99% under one millionth error recognition.
Ranked the third place in NIST IREX10 in 2021
Won the second place in international iris recognition algorithm open competition (NICE: II).
