Description: Recently, biometric authentication systems have gained considerable popularity, since users in this case do not need to remember the password. Also, the development of mobile devices allowed fast and easy authentication thanks to built-in sensors. Iris biometric authentication systems are only being developed, so the image processing algorithm can have a different form and it is not standardized. In this paper, the actual problem of choosing a method for remote biometric authentication of an individual based on the Gabor filter and a combination of Gaussian and Laplace filters is solved. To solve the problem, an algorithm for image processing was proposed, software and mathematical modeling of the creation of the iris code and comparison with the standard were carried out. The effectiveness of using the Gabor filter and the combination of Gaussian and Laplace filters was also investigated under the conditions of a combination of the above-mentioned with the same methods of processing the iris image from the CASIA-Iris-Interval database. As a result of testing, the stability of each filter was determined to noise and the probability of errors was determined. Both filters are sensitive enough to noise, but the best performance against noise is provided by the use of a combination of Gaussian and Laplace filters. The scientific novelty of the work is to further improve the methods of remote authentication of the individual by the iris and to investigate the effectiveness of using methods against background noise. The practical importance of the work lies in the possibility of using the methods under investigation in biometric authentication systems using mobile devices and transmitting information over open communication channels with interference.
Keywords: biometric template, hedge authentication, Gaussian filter, Gabor filter, stability