Abstract: The present invention relates to a method and system for performing video-based automatic identity verification. The method at least comprises: generating prompt(s); capturing, a video that comprises the first user speaking the prompt(s); capturing an image of an identification document comprising an image of a second user;, detecting a correctness of a speech in the video based on a deepfake detection score, a visual cues match, and a transcription match; detecting in one or more frames of the video, the first human object based on the correctness of the speech and in the image of the identification document, the second human object; generating a first similarity score, and a second similarity score, based on the detection of the first human object and second human object; and performing the identity verification of the first user, based on the first similarity score, and the second similarity score.

Abstract: A system and method for detection of a fraudulent action using face database search and retrieval is given. The method identifies fraudulent action using a combination of images captured in real-time, feature vector extraction, and metadata matching. The method involves capturing, a query selfie image and a query ID card image. Thereafter, face feature vectors from the query images are extracted, and candidate face feature vectors are identified by searching a set of nearest neighbors of the extracted face feature vectors. The method then retrieves pre-stored application IDs associated with the candidate face feature vectors and a pre-stored metadata associated with the candidate face feature vectors. The method then matches the query metadata with the pre-stored metadata and generates either a fraudulent or non-fraudulent indication based on the matching. Thereafter it detects a fraudulent activity based on the fraudulent indication.

Abstract: A system and method for authenticating an image is given. The method encompasses capturing a first image comprising at least one first human object and a second ID image; detecting at least one face of one first human object and processing the first human object based on face attribute checks, face quality checks, and face manipulation checks; performing a liveness check of the identification document to crop and align the region of interest; detecting a face of the at least one second human object; performing ID quality checks and ID tampering checks on the region of interest of the identification document; determining the image face feature vector and an ID card face feature vector; determining a match score between the image face feature vector and the ID card face feature vector and a status indicating one of authentication success, authentication failure, or a requirement for manual review of the image.