№2, 2020


Kamil R.Aida-zade, Chingiz J. Khalilov, Elshan E. Mustafayev, Ilgar M. Mahmudov

Pattern recognition is increasingly used in large information systems. The development of the theoretical base of image processing and the widespread use of free open source libraries make it possible to use new solutions in a variety applied problems. One of these tasks is the automatic machine processing of the answers of massively conducted test exams. This paper describes the developed system, used in processing the results of mass exams, which shows the ability for reliable, rapid and objective assessment. This system can be configured on almost any type of form. Its use also allows to abandon the expensive and difficult to use OMR scanners. To increase productivity of system we propose to use the multicore/multithreading property of modern processors to parallelize processes within a single workstation. As a result of experiments, it is found that the transition to multi-threaded recognition can increase productivity up to 3.5 times compared to single-threaded (pp.32-40).

Keywords: information processing, intelligent system, evaluation of results, image processing, multithreading recognition, automatic response processing.
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