Invention Grant
- Patent Title: Iris recognition systems and methods of using a statistical model of an iris for authentication
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Application No.: US15597927Application Date: 2017-05-17
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Publication No.: US10311300B2Publication Date: 2019-06-04
- Inventor: Mikhail Teverovskiy
- Applicant: EyeLock LLC
- Applicant Address: US NY New York
- Assignee: Eyelock LLC
- Current Assignee: Eyelock LLC
- Current Assignee Address: US NY New York
- Agency: Foley & Lardner LLP
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/40 ; G06K9/46 ; G06T3/00 ; G06F21/32

Abstract:
The present disclosure describes systems and methods of using iris data for authentication. A biometric encoder may translate an image of the iris into a rectangular representation of the iris. The rectangular representation may include a plurality of rows corresponding to a plurality of annular portions of the iris. The biometric encoder may extract an intensity profile from at least one of the plurality of rows, the intensity profile modeled as a stochastic process. The biometric encoder may obtain a stationary stochastic component of the intensity profile by removing a non-stationary stochastic component from the intensity profile. The biometric encoder may remove at least a noise component from the stationary component using auto-regressive based modeling, to produce at least a non-linear background signal, and may combine the non-stationary component and the at least the non-linear background signal, to produce a biometric template for authenticating the person.
Public/Granted literature
- US20170337424A1 IRIS RECOGNITION SYSTEMS AND METHODS OF USING A STATISTICAL MODEL OF AN IRIS FOR AUTHENTICATION Public/Granted day:2017-11-23
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