Anti-fake iris identity authentication method used for intelligent glasses

Abstract

The invention provides an anti-fake iris identity authentication method used for intelligent glasses. According to the method, requirements for periphery devices are low, multiple faking methods can be detected, and the high-adaptability anti-fake purpose is achieved. The method comprises the steps of (1) extracting standard images and saving user iris characteristics in the standard images as standard iris characteristics; (2) generating a random incident light intensity change sequence based on ambient light to stimulate the eyes of a user, collecting a dynamic user eye image, obtaining an eye image sequence, and extracting and saving user iris characteristics in the dynamic eye image as iris characteristics to be detected; (3) obtaining a pupil diameter change sequence through the dynamic user eye image and calculating the matching rate Pass1 between the pupil diameter change sequence and the incident light intensity change sequence; (4) selecting an image to be authenticated from the dynamic user eye image, selecting a comparison standard image from the standard images, and calculating the matching rate Pass2 of the iris characteristics of the image to be authenticated and the iris characteristics of the comparison standard image; (5) obtaining an authentication result according to the Pass1 and the Pass2.

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 "Smart Body, Smart World" 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 g...

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 rule that the pupil diameter rapidly decreases and then gradually increases after the light intensity increases instantly, to establish the pupil Diameter change classification model detects ocular activity, which cannot identify counterfeiting of fake iris centers 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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