Abstract: The present invention relates to a method and system of image processing for determining liveness of a subject. The method comprises processing a captured image to create a plurality of target images. The method then encompasses generating a depth map corresponding to each target image from the plurality of target images. Further, the method comprises creating a plurality of modified images based on an addition of the depth map and a set of color models associated with the plurality of target images. Next, the method comprises detecting, by a plurality of multi-branch image liveness models, one of a presence of a set of non-live attacks and an absence of the set of non-live attacks in the plurality of modified images. Further the method leads to determining the liveness of the subject based on detection of the absence of the set of non-live attacks.

Abstract: The present disclosure relates to a method and a system of video processing for determining liveness of a subject. The method comprises capturing a plurality of multi-media frames related to a video. The method further comprises sampling a plurality of consecutive frames from the plurality of multi-media frames. The method further comprises generating a set of optic flow images based on the plurality of consecutive frames. The method further comprises providing to a multi-branch video liveness model, a sub-set of the plurality of consecutive frames and the set of optic flow images. The method further comprises generating, by the multi-branch video liveness model, a video liveness score based on a processing of the sub-set of the plurality of consecutive frames and the set of optic flow images. The method further comprises determining the liveness of the subject based on the video liveness score.

Abstract: The present disclosure relates to a method and a system for determining liveness of a subject. The method encompasses receiving, from an image processing system, a final image liveness score. The method further comprises, receiving, from a video processing system, a video liveness score. The method further comprises, receiving, from a sensor-data processing system, a sensor-based liveness score. The method further comprises, analyzing, the final image liveness score, the video liveness score, and the sensor-based liveness score. The method further comprises, grouping, the final image liveness score, the video liveness score, and the sensor-based liveness score based on the analysis. The method further comprises, identifying, a set of liveness detection mechanisms based on the grouping. The method further comprises, determining, the liveness of the subject based on the set of liveness detection mechanisms.