ANALYZING FACIAL RECOGNITION DATA AND SOCIAL NETWORK DATA FOR USER AUTHENTICATION

摘要

Tools, strategies, and techniques are provided for evaluating the identities of different entities to protect business enterprises, consumers, and other entities from fraud by combining biometric activity data with facial recognition data for end users. Risks associated with various entities can be analyzed and assessed based on a combination of user liveliness check data, facial image data, social network data, and/or professional network data, among other data sources. In various embodiments, the risk assessment may include calculating an authorization score or authenticity score based on different portions or combinations of the collected and processed data.

主权项

1. A computer-implemented method for calculating an authenticity score for a user, the method comprising:
a) calculating, by a facial evaluation system operatively associated with an electronic processor, a liveliness check score in response to analysis of image data associated with at least one anatomical change associated with an interaction between the user and a facial recognition application; b) calculating, by the facial evaluation system, a facial confirmation score by:
i. generating a facial vector map based on image data associated with the user,ii. collecting data derived from at least one access device associated with the user or at least one identity input associated with the user, andiii. comparing at least a portion of the facial vector map data, the access device data, or the identity input data against at least a portion of image data stored in at least one database; and c) calculating, by the facial evaluation system, an authorization score for the user in response to the calculated liveliness check score and the calculated facial confirmation score.