Anti-counterfeiting iris authentication method for smart glasses

Abstract

The invention provides an anti-counterfeiting iris identity authentication method for smart glasses, which has low requirements on peripherals and is highly adaptable anti-counterfeiting capable of detecting various counterfeiting methods. The steps are: (1) extract the reference image, save the iris feature of the user in the reference image as the reference iris feature; (2) generate a random sequence of incident light intensity changes on the basis of ambient light to stimulate the user's eyes and collect dynamic user's iris features. (3) Obtain the pupil diameter change sequence from the user’s dynamic eye image, and calculate the relationship between the pupil diameter change sequence and the incident light The matching degree Pass1 of the strong change sequence; (4) Select the image to be authenticated from the user's dynamic eye image, select the comparison reference image from the reference image, and calculate the matching degree Pass2 of the iris feature of the image to be authenticated and the comparison reference image; (5) ) According to Pass1 and Pass2, get the authentication result.

Description

technical field [0001] The invention relates to the field, in particular to an anti-counterfeiting iris identity authentication method for smart glasses. Background technique [0002] Forrester Research, an independent technology market research organization, pointed out in a report "SmartBody, SmartWorld" that the next computing revolution will be wearable devices wrapped in sensors, rather than smartphones and tablets. Wearable computing equipment refers to the technology of "wearing" computers on the body. Its concept was first proposed in 1955. The original intention was to collect and predict live data in real time in the "roulette" gambling game. In 1991, Carnegie Mellon University (CMU) in the United States developed the wearable computer VuMen1 for engineering maintenance, which consists of a tiny computer and glasses-like display; "Warrior" inherited and developed the architecture of VuMen1, and added a network communication module on the basis of computers and gla...

AI Technical Summary

Problems solved by technology

Andrzejpacut et al [Pacut, Andrzej, and Adam Czajka. "Aliveness detection for irisbiometrics." CarnahanConferencesSecurityTechnology, Proceedings200640thAnnualIEEEInternational.IEEE, 2006] use the law that the pupil diameter rapidly decreases and then gradually increases after the light intensity increases instantly, and establishes a pupil diameter change classification model to detect the eye Activity, this method cannot identify the forgery of digging holes in the center of fake irises or color contact lenses

[0007] In summary, the traditional anti-counterfeiting methods are limited by hardware and are not suitable for anti-counterfeiting of smart glasses. High requirements and easy to be attacked, so there is a need for a highly adaptable anti-counterfeiting detection method that has low requirements on peripherals and can detect a variety of forgery methods

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