Patent ID: 9639769
Date: 2017-05-02
CPC Classifications: G06K,G06N,G06T,H04N

Claim:
1. A computer-implemented method comprising: obtaining training data that includes, for each image of a set of images of one or more portions of a human body, (i) image feature data based on an analysis of the image, and (ii) data indicating whether the image is a live image or a fabricated image; using the training data, training a predictive model to determine a likelihood that input image feature data corresponds to the live image that is not the fabricated image, the predictive model including image characteristics and corresponding to a combination of coefficients associated with the image characteristics, the coefficients adjusted based on relevancy of the associated image characteristics in determining whether the image is the live image or the fabricated image; obtaining particular image feature data based on an analysis of a particular image, the particular image feature data including measurements of the image characteristics that include facial features of at least a portion of a face shown in the particular image; providing the particular image feature data to the predictive model; receiving, from the predictive model, data that is determined by applying the predictive model to the particular image feature data including the measurements of the facial features, the data indicating the likelihood that the particular image feature data corresponds to the live image; and providing, for output, a representation of the data indicating the likelihood that the particular image feature data corresponds to the live image.