Search Results for author: Konstantin Bulatov

Found 6 papers, 4 papers with code

MIDV-2020: A Comprehensive Benchmark Dataset for Identity Document Analysis

no code implementations1 Jul 2021 Konstantin Bulatov, Ekaterina Emelianova, Daniil Tropin, Natalya Skoryukina, Yulia Chernyshova, Alexander Sheshkus, Sergey Usilin, Zuheng Ming, Jean-Christophe Burie, Muhammad Muzzamil Luqman, Vladimir V. Arlazarov

Identity documents recognition is an important sub-field of document analysis, which deals with tasks of robust document detection, type identification, text fields recognition, as well as identity fraud prevention and document authenticity validation given photos, scans, or video frames of an identity document capture.

Face Detection

Fast Approximate Modelling of the Next Combination Result for Stopping the Text Recognition in a Video

1 code implementation6 Aug 2020 Konstantin Bulatov, Nadezhda Fedotova, Vladimir V. Arlazarov

In this paper, we consider a task of stopping the video stream recognition process of a text field, in which each frame is recognized independently and the individual results are combined together.

Video Recognition

Methods of Weighted Combination for Text Field Recognition in a Video Stream

no code implementations27 Nov 2019 Olga Petrova, Konstantin Bulatov, Vladimir L. Arlazarov

Due to a noticeable expansion of document recognition applicability, there is a high demand for recognition on mobile devices.

Next integrated result modelling for stopping the text field recognition process in a video using a result model with per-character alternatives

1 code implementation9 Oct 2019 Konstantin Bulatov, Boris Savelyev, Vladimir V. Arlazarov

This paper is directed on extending the stopping method based on next integrated recognition result modelling, in order for it to be used within a string result recognition model with per-character alternatives.

Clustering Object Recognition

MIDV-2019: Challenges of the modern mobile-based document OCR

1 code implementation9 Oct 2019 Konstantin Bulatov, Daniil Matalov, Vladimir V. Arlazarov

The portfolio of methods and algorithms for solving such tasks as face detection, document detection and rectification, text field recognition, and other, is growing, and the scarcity of datasets has become an important issue.

Face Detection Optical Character Recognition (OCR)

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