Dr. Igor Janiszewski Profile

Dr. Igor Janiszewski

at FRC CSC RAS

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Author

Publications (5)

Proceedings Article | 4 January 2021 Paper

An application of geometric aspects of variational autoencoder model to forgery detection of scanned documents

Igor Janiszewski, Dmitry Slugin, Elena Andreeva

Proceedings Volume 11605, 116051H (2021) https://doi.org/10.1117/12.2587483

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Proceedings Article | 31 January 2020 Paper

Training the convolutional neural network with statistical dependence of the response on the input data distortion

Igor Janiszewski, Vladimir Arlazarov, Dmitry Slugin

Proceedings Volume 11433, 114330W (2020) https://doi.org/10.1117/12.2559457

KEYWORDS: Distortion, Data modeling, Network architectures, Convolutional neural networks, Neural networks, Optical character recognition, Video

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Proceedings Article | 15 March 2019 Paper

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

Elena Andreeva, Vladimir Arlazarov, Oleg Slavin, Igor Janiszewski

Proceedings Volume 11041, 110411L (2019) https://doi.org/10.1117/12.2522970

KEYWORDS: Video, Optical character recognition, Systems modeling, Stochastic processes, Expectation maximization algorithms, Statistical analysis, Analytical research, Statistical modeling, Computing systems, Scientific research

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Proceedings Article | 13 April 2018 Paper

Method of determining the necessary number of observations for video stream documents recognition

Vladimir Arlazarov, Konstantin Bulatov, Temudzhin Manzhikov, Oleg Slavin, Igor Janiszewski

Proceedings Volume 10696, 106961X (2018) https://doi.org/10.1117/12.2310132

KEYWORDS: Mobile devices, Video processing, Analytical research, Scientific research, Computer science

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Proceedings Article | 17 March 2017 Paper

Trigram-based algorithms for OCR result correction

Konstantin Bulatov, Temudzhin Manzhikov, Oleg Slavin, Igor Faradjev, Igor Janiszewski

Proceedings Volume 10341, 103410O (2017) https://doi.org/10.1117/12.2268559

KEYWORDS: Optical character recognition, Computer science, Detection and tracking algorithms, Associative arrays, Analytical research, Visual process modeling, Error analysis, Image processing, Computing systems, Scientific research

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