Methods of weighted combination for text field recognition in a video stream

Olga Petrova; Konstantin Bulatov; Vladimir L. Arlazarov

doi:10.1117/12.2559378

31 January 2020 Methods of weighted combination for text field recognition in a video stream

Olga Petrova, Konstantin Bulatov, Vladimir L. Arlazarov

Proceedings Volume 11433, Twelfth International Conference on Machine Vision (ICMV 2019); 114332L (2020) https://doi.org/10.1117/12.2559378
Event: Twelfth International Conference on Machine Vision, 2019, Amsterdam, Netherlands

Abstract

Due to a noticeable expansion of document recognition applicability, there is a high demand for recognition on mobile devices. A mobile camera, unlike a scanner, cannot always ensure the absence of various image distortions, therefore the task of improving the recognition precision is relevant. The advantage of mobile devices over scanners is the ability to use video stream input, which allows to get multiple images of a recognized document. Despite this, not enough attention is currently paid to the issue of combining recognition results obtained from different frames when using video stream input. In this paper we propose a weighted text string recognition results combination method and weighting criteria, and provide experimental data for verifying their validity and effectiveness. Based on the obtained results, it is concluded that the use of such weighted combination is appropriate for improving the quality of the video stream recognition result.

Citation Download Citation

Olga Petrova, Konstantin Bulatov, and Vladimir L. Arlazarov "Methods of weighted combination for text field recognition in a video stream", Proc. SPIE 11433, Twelfth International Conference on Machine Vision (ICMV 2019), 114332L (31 January 2020); https://doi.org/10.1117/12.2559378

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