Abstract: An information processing apparatus calculates a parameter for each of a plurality of layers included in a first neural network through machine learning using a plurality of image datasets each containing a human biometric image. The information processing apparatus generates a determination model of determining the authenticity of a human biometric image included in a received image dataset, by setting a parameter calculated for a first layer of the first neural network in the first layer included in a second neural network that includes the first layer and does not include a second layer.

Abstract: In a determination method, a computer executes processing including: generating face image data from which noise is removed by a specific algorithm from face image data when the face image data is acquired; generating difference image data concerning difference between the face image data that has been acquired and the face image data that has been generated; determining whether or not the face image data that has been acquired is a composite image based on information included in the difference image data; and determining whether or not the face image data that has been acquired is a composite image based on information included in frequency data generated from the difference image data in a case where the face image data that has been acquired is not determined to be a composite image.