activity
20182020
most citedMIDV-2019: Challenges of the modern mobile-based document OCR

50 citations · 58 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2020

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

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 c…

cs.CV20196 cited

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

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. A mobile camera, unlike a scanner, cannot always ensu…

cs.CV20192 cited

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

Konstantin Bulatov, Boris Savelyev, Vladimir V. Arlazarov

In the field of document analysis and recognition using mobile devices for capturing, and the field of object recognition in a video stream, an important problem is determining the…

cs.CV201950 cited

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

Konstantin Bulatov, Daniil Matalov, Vladimir V. Arlazarov

Recognition of identity documents using mobile devices has become a topic of a wide range of computer vision research. The portfolio of methods and algorithms for solving such task…

cs.CV2018

MIDV-500: A Dataset for Identity Documents Analysis and Recognition on Mobile Devices in Video Stream

Vladimir V. Arlazarov, Konstantin Bulatov, Timofey Chernov +1

A lot of research has been devoted to identity documents analysis and recognition on mobile devices. However, no publicly available datasets designed for this particular problem cu…