Experimental modeling the flow of character recognition results in video stream for document recognition

Elena Andreeva; Vladimir V. Arlazarov; Oleg Slavin; Igor Janiszewski

doi:10.1117/12.2522970

15 March 2019 Experimental modeling the flow of character recognition results in video stream for document recognition

Elena Andreeva, Vladimir V. Arlazarov, Oleg Slavin, Igor Janiszewski

Proceedings Volume 11041, Eleventh International Conference on Machine Vision (ICMV 2018); 110411L (2019) https://doi.org/10.1117/12.2522970
Event: Eleventh International Conference on Machine Vision (ICMV 2018), 2018, Munich, Germany

Abstract

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.

Citation Download Citation

Elena Andreeva, Vladimir V. Arlazarov, Oleg Slavin, and Igor Janiszewski "Experimental modeling the flow of character recognition results in video stream for document recognition", Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 110411L (15 March 2019); https://doi.org/10.1117/12.2522970

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