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Modelling the flow of character recognition results in video stream. (English) Zbl 1400.94007
Summary: The paper considers problems of developing stochastic models consistent with results of character image recognition in video stream. A set of assumptions that define the models structure and properties is stated. A class of distributions, namely the Dirichlet distribution and its generalizations, that set a description of the model components is pointed out; and methods for statistical estimation of the distribution parameters are given. To rank the models, the Akaike information criterion is used. The proposed theoretical distributions are verified vs sample data.

MSC:
94A08 Image processing (compression, reconstruction, etc.) in information and communication theory
68T10 Pattern recognition, speech recognition
68U10 Computing methodologies for image processing
94A15 Information theory (general)
Software:
sirt
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References:
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