18534346. Biometric Multi-Representation Eye Authentication simplified abstract (Apple Inc.)

Biometric Multi-Representation Eye Authentication

Organization Name

Apple Inc.

Inventor(s)

Gendong Zhang of Stanford CA (US)

Martin Haller of Mountain View CA (US)

Abhishek Nagar of Seattle WA (US)

Saurabh Jain of Saratoga CA (US)

Stefan Roennecke of Santa Clara CA (US)

Tomi P Maila of San Carlos CA (US)

Andrei Nikiforov of Berlin (DE)

Tom Sengelaub of Oakland CA (US)

Biometric Multi-Representation Eye Authentication - A simplified explanation of the abstract

This abstract first appeared for US patent application 18534346 titled 'Biometric Multi-Representation Eye Authentication

The patent application describes methods for user authentication based on a multi-representation eye model for devices like head-mounted display devices.

• The multi-representation eye model is generated and updated using feature representations of an identified eye.
• The user authentication process starts by capturing an image of the current eye under specific conditions, transforming it into a feature representation, and comparing it to the multi-representation eye model to verify the user's identity.

Potential Applications: - Enhanced security for devices like head-mounted displays - Biometric authentication for access control systems

Problems Solved: - Improving user authentication accuracy - Enhancing security measures for personal devices

Benefits: - Increased security through biometric authentication - Convenient and efficient user verification process

Commercial Applications: Title: "Enhancing Security with Multi-Representation Eye Model User Authentication" This technology can be utilized in various industries such as: - Technology companies developing head-mounted display devices - Security firms implementing biometric authentication systems

Questions about Multi-Representation Eye Model User Authentication: 1. How does the multi-representation eye model improve user authentication accuracy?

  - The multi-representation eye model enhances accuracy by comparing feature representations of the current eye to the identified eye stored in the model.

2. What are the potential drawbacks of using biometric authentication based on eye models?

  - Some potential drawbacks may include privacy concerns and technical limitations in certain environments.

Original Abstract Submitted

Methods for performing user authentication based on a multi-representation eye model for devices such as head-mounted display devices are disclosed. The multi-representation eye model may be generated and updated based on feature representations of an identified eye. The user authentication process may be initiated by causing an image to be captured of a current eye under a first set of conditions that may then be transformed into a current feature representation. The current feature representation may be applied to the multi-representation eye model to determine whether the current eye is a match for the identified eye.