Abstract

The article considers the preconditions for use of the biometric identification and authentication methods based on the features of a human thermogram. The article presents the method of solution of the problem of recognition of a human face contour thermogram, which can improve the quality of functioning of the information security system and provide high factors of FAR and FRR. The method consists in the fact that initially for all image pixels the squared norm of gradient of change of their brightness was calculated. Then on a new black and white monochrome matrix by black colour on a white background all elements are set off, whose values of the norm of the gradient are over a threshold value. As outlines of objects in a monochrome matrix, we take coherent configurations of elements in black. Further, the coefficient is determined and the threshold value of squared norm of gradient is calculated. It is necessary to take into account that the values are higher than the overall average levels of non-zero changes in rows and columns, respectively, and among the connected configurations of elements in black on the monochrome matrix, the configurations, in which the number of input elements is less than a certain value, are rejected. For remaining configurations the average degree of neighborhood is calculated, i.e. the result of division of the sum of all elements of the configuration of neighboring elements into the sum of the elements in the configuration. At the same time, the configurations in which the average degree of neighborhood is less than three are rejected, and the remaining ones are accepted as the desired object boundaries.

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