Assa Abloy Ab

Hid Global Corporation

Veralight, Inc.

Nathaniel I Matter

Robert Kjell Rowe

John D Maynard

Ryan Eric Martin

Marwood Neal Ediger

Horst Arnold Mueller

Disclosed herein are systems and methods for using machine learning for image-based spoof detection. One embodiment takes the form of a method that includes obtaining an input-data set that includes a plurality of images captured of a biometric-authentication subject by a plurality of cameras of a camera system. The method also includes inputting the input-data set into a trained machine-learning module, and processing the input-data set using the machine-learning module to obtain, from the machine-learning module, a spoof-detection result for the biometric-authentication subject. The method also includes outputting the spoof-detection result for the biometric-authentication subject.

Systems and methods for using machine learning for image-based spoof detection

Embodiments relate to bioimpedence-based spoof detection in an optical biometric reader. For example, embodiments operate in context of a biometric reader having a platen integrated with substantially transparent bioimpedance source and receiver electrodes covered by a substantially transparent protective layer. A multi-frequency input signal can be injected from the source electrode into a purported skin site (through the protective layer), so that a response signal is received by the receiver electrode. The response signal is interrogated to formulate a dispersive bioimpedance response of the purported skin site to the input signal over multiple frequencies. A biometric spoof determination can then be made according to the dispersive bioimpedance response. The spoof determination can be used for spoof detection, presence detection, and/or other functions.

Bioimpedance spoof detection

A method of determining a measure of a tissue state (e.g., glycation end-product or disease state) in an individual is disclosed. A portion of the skin of the individual is illuminated with excitation light, then light emitted by the tissue due to fluorescence of a chemical with the tissue responsive to the excitation light is detected. The detected light can be combined with a model relating fluorescence with a measure of tissue state to determine a tissue state. The invention can illuminate the skin and detect responsive light over a time that spans a plurality of cardiac cycles of the individual, which can, as an example, help mitigate the effects of time-varying signals such as those due to hemoglobin. The invention can also determine the amount of light to be directed to the skin, for example by controlling the time that a light source is energized. The amount of illumination light can be determined from a skin reflectance characteristic such as pigmentation or melanin in the skin. Controlling the amount of light directed to the tissue can reduce the dynamic range required of a corresponding optical system, for example by allowing a single system to accurately measure individuals with very light skin and individuals with very dark skin.

Method and apparatus to compensate for melanin and hemoglobin variation in determination of a measure of a glycation end-product or disease state using tissue fluorescence

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Albuquerque, NM, United States of America

Nathaniel I Matter