The paper is devoted to the investigation of Prolog language family possibility for its use in the solving of the display image recognition. Diculti appeared in the Prolog implementation of the approach are marked out . It is shown the way in which the number of deduction algorithm steps allows to overcome the appeared diculties. Examples of the Prolog programs implementation to the separation of an etalon image from a complex one are done. Peculiarities of the use of dierent recognizable image formats are analized.
The description of main features and problems of mass recognition of archival documents is presented in the beginning of the paper. Key design problems are considered, the examples are shown and different kinds of solutions are advised. After that, the scheme of electronic archive and the scheme of recognition subsystem are shown with the description of their components, functions and business processes.
The paper is devoted to the proof of upper bounds of steps of logic-objectiv algorithms for recognition of a complicated image situated on a display screen. It is proved that the problem of separation and recognition of an etalon object from a complicated scene has a polynomial algorithm. The problem of separation and recognition of an object from a class the description of which contains only distinctive attributes of this class belongs to. To decrease the algorithm number of steps a notion of "fuzzy image"' is introduced. The problem of invariant (under rescaling) image recognition is regarded.
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