Systems and methods for secure authentication based on machine learning techniques

This invention describes a device that uses machine learning for secure authentication, such as with fingerprints or facial recognition. It involves applying specific transformations to a user's stored biometric data and checking its similarity against a unique 'noise' pattern. For authentication, the device compares the user's stored biometric data to newly provided biometric information to determine if they match.

Why it matters: Filed before the widespread adoption of advanced deep learning models. Modern ML frameworks and increased computational power make the complex biometric transformations more feasible and accurate.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedMachine learning software, biometric data processing.

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