ALGORITHM FOR AUTOMATIC GRAPHOLOGICAL ANALYSIS OF EMPLOYEES’ HANDWRITING

The aim of the work is to create an algorithm for automatic graphological analysis of employees’ handwriting. The basis of the algorithm is parallel processing of the employees’ handwritten text. Implementing the presented algorithm will allow creating a modular automated system of graphological analysis. The article presents the architecture of an automated system of graphological analysis. The novelty of the work is the proposed creative concept of using automatic graphological analysis for timely detection of attempts of unfavourable external psychological influence on employees. The result of the study is recommendations for using the algorithm for graphological analysis of employees’ handwriting in automated information security systems.