Computer-assisted iris comparison method and device

Abstract

The invention provides a computer-assisted iris comparison method and device, and the method comprises the steps: obtaining a first iris image and a second iris image; rotating the iris in the first iris image and the iris in the second iris image to the same angle; carrying out iris positioning on the rotated first iris image and second iris image and carrying out normalization operation, whereinthe normalization operation comprises one or more of iris radius normalization, pupil radius normalization and rectangular expansion normalization; calculating iris texture feature attribute information of corresponding positions in the first iris image and the second iris image after normalization operation; outputting the iris texture feature attribute information for display so as to obtain texture consistency comparison results of corresponding areas in the two iris images; and if the consistent iris texture features are compared and determined to meet the identity determination, determining that the first iris image and the second iris image are from the same iris. According to the scheme, the blank in the field of artificial iris comparison is filled.

Description

technical field [0001] The invention relates to the technical field of iris recognition, in particular to a computer-aided iris comparison method and device. Background technique [0002] Because of its high stability, uniqueness, and anti-counterfeiting, iris recognition is regarded as a highly secure biometric identification method, and is being more and more widely used in high-precision identification scenarios. At present, the iris recognition method is computer iris recognition, that is, the computer automatically collects the user's iris image, extracts iris features, and compares it with the iris feature template in the database to complete the identification of the user's identity. [0003] However, the current level of computer iris recognition cannot handle all iris images with 100% accuracy. For example, some iris images will have mydriasis and iris irregularities, which will cause iris recognition to fail; Authentication failed due to corpse iris distortion. I...

AI Technical Summary

Problems solved by technology

[0003] However, the current level of computer iris recognition cannot handle all iris images with 100% accuracy. For example, some iris images will have mydriasis and iris irregularities, which will cause iris recognition to fail; Authentication failed due to corpse iris distortion

In addition, in the process of judicial identification, when identifying biological characteristics, it is required to manually identify objective biological characteristics and give identification results, so the results of computer identification of biological characteristics cannot be used as the basis for judicial identification, which makes the field of iris identification blank

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