On optimal stopping strategies for text recognition in a video stream as an application of a monotone sequential decision model

International Journal on Document Analysis and Recognition (IJDAR) – 2019. – Vol. 22(3). – P. 303-314. – DOI: 10.1007/s10032-019-00333-0

The paper describes the problem of stopping the text field recognition process in a video stream, which is a novel problem, particularly relevant to real-time mobile document recognition systems. A decision-theoretic framework for this problem is provided, and similarities with existing stopping rule problems are explored. Following the theoretical works on monotone stopping rule problems, a strategy is proposed based on thresholding the estimation of the expected difference between consequent recognition.

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