| CPC G06V 20/95 (2022.01) [G06V 10/56 (2022.01); G06V 10/751 (2022.01); G06V 40/168 (2022.01); G06V 40/172 (2022.01); G06V 40/178 (2022.01); G06V 40/179 (2022.01)] | 10 Claims |

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1. A computer-implemented method for user authentication comprising:
receiving a photo of a photo identification document of a human being to be authenticated;
receiving at least one additional photo of the human being to be authenticated taken live during a verification test;
identifying first biometric data listed in the photo identification document, including listed age data;
generating second biometric data based on the photo of the photo identification document utilizing a machine learning model trained to identify biometric age data from photos, the second biometric data including a first estimated age and an aging rate with respect to the listed age data of the photo identification document;
generating third biometric data based on the at least one additional photo by analyzing the at least one additional photo utilizing the machine learning model trained to identify biometric data from photos including generating a second estimated age;
calibrating the second estimated age based on the aging rate; and
generating a fraud signal based on a comparison of the first biometric data listed in the photo identification document and the generated second and third biometric data.
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