System and method for facilitating multi-factor face authentication of user

A method for facilitating multi-factor face authentication of user, the method comprising:

• receiving, by one or more hardware processors, a request from one or more electronic devices associated with a user to authenticate face of the user, wherein the received request comprises at least one of:
• one or more images and one or more videos of the user;
• extracting, by the one or more hardware processors, a set of facial features of the user from the at least one of:
• one or more images and one or more videos of the user by using a feature extraction-based Artificial Intelligence (AI) model;
• receiving, by the one or more hardware processors, a set of point clouds associated with the face of the user by using one or more sensors, wherein the received set of point clouds represent Three-Dimension (3D) face model of the user;
• receiving, by the one or more hardware processors, one or more inputs from the user to select one or more virtual face filters from a plurality of virtual filters;
• obtaining, by the one or more hardware processors, one or more prestored authentication parameters associated with the user from a storage unit, wherein the one or more authentication parameters comprise a set of prestored facial features, a set of prestored point clouds and at least one of:
• a predefined name and a predefined ID for each of the one or more virtual face filters;
• generating, by one or more hardware processors, a plurality of similarity scores for each of the extracted set of facial features, the received set of point clouds and the selected one or more virtual face filters based on the obtained one or more prestored authentication parameters by using corresponding score generation models, wherein the plurality of similarity scores for the selected one or more virtual face filters indicates an exact match;
• determining, by the one or more hardware processors, an authentication status of the user by comparing the generated plurality of similarity scores with a predefined threshold score by using the corresponding score generation models, wherein the authentication status is one of:
• authentication failed and authentication successful;
• and
• approving, by the one or more hardware processors, the received request upon determining that the determined authentication status is authentication successful.

A non-transitory computer-readable storage medium having instructions stored therein that, when executed by a hardware processor, cause the processor to perform method steps comprising:

• receiving a request from one or more electronic devices associated with a user to authenticate face of the user, wherein the received request comprises at least one of:
• one or more images and one or more videos of the user;
• extracting a set of facial features of the user from the at least one of:
• one or more images and one or more videos of the user by using a feature extraction-based Artificial Intelligence (AI) model;
• receiving a set of point clouds associated with the face of the user by using one or more sensors, wherein the received set of point clouds represent Three-Dimension (3D) face model of the user;
• receiving one or more inputs from the user to select one or more virtual face filters from a plurality of virtual filters;
• obtaining one or more prestored authentication parameters associated with the user from a storage unit, wherein the one or more authentication parameters comprise a set of prestored facial features, a set of prestored point clouds and at least one of:
• a predefined name and a predefined ID for each of the one or more virtual face filters;
• generating a plurality of similarity scores for each of the extracted set of facial features, the received set of point clouds and the selected one or more virtual face filters based on the obtained one or more prestored authentication parameters by using corresponding score generation models, wherein the plurality of similarity scores for the selected one or more virtual face filters indicates an exact match;
• determining an authentication status of the user by comparing the generated plurality of similarity scores with a predefined threshold score by using the corresponding score generation models, wherein the authentication status is one of:
• authentication failed and authentication successful;
• and
• approving the received request upon determining that the determined authentication status is authentication successful.