Experimental modeling the flow of character recognition results in video stream for document recognition
Elena Andreeva, Vladimir V. Arlazarov, Oleg Slavin, Igor M. Janiszewski · 2019
This paper considers problems regarding the development of stochastic models consistent with the results of character image recognition in video stream. Assumptions about their structure and properties are formulated for the constructed models. The description of the model components defines the Dirichlet distribution and its generalizations. The parameters of these distributions are determined using statistical estimation methods. The Akaike information criterion is used to rank models. The verification of the agreement of the proposed theoretical distributions to the sample data is carried out.