Mathematical model and methods of processing biometric images of fingerprints

Abstract

 Today, using of personal identification technologies based on biometric parameters for access to information resources is becoming topical in connection with the increase of informatization in modern society. Physical characteristics such as face, voice, retina or fingerprints are used to confirm personal identity. The most successful biometric identification technology is fingerprinting - a comparison of fingerprints. It is easy for using, reliable and there is no outside intrusion. The article will consider an analytical probabilistic model of formation and processing of fingerprints portraits taking into account possible natural factors that can distort the image of prints. Also, the model was processed to minimize the distortions’ influence to approximate the distribution type of characteristic points to a similar distribution of the reference sample.