105 citations · 262 across the 14 of their papers we have counts for
15 papers
Unfolder: Fast localization and image rectification of a document with a crease from folding in half
A. M. Ershov, D. V. Tropin, E. E. Limonova +2
Presentation of folded documents is not an uncommon case in modern society. Digitizing such documents by capturing them with a smartphone camera can be tricky since a crease can di…
Fast matrix multiplication for binary and ternary CNNs on ARM CPU
Anton Trusov, Elena Limonova, Dmitry Nikolaev +1
Low-bit quantized neural networks are of great interest in practical applications because they significantly reduce the consumption of both memory and computational resources. Bina…
MIDV-2020: A Comprehensive Benchmark Dataset for Identity Document Analysis
Konstantin Bulatov, Ekaterina Emelianova, Daniil Tropin +8
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…
Advanced Hough-based method for on-device document localization
D. V. Tropin, A. M. Ershov, D. P. Nikolaev +1
The demand for on-device document recognition systems increases in conjunction with the emergence of more strict privacy and security requirements. In such systems, there is no dat…
ResNet-like Architecture with Low Hardware Requirements
Elena Limonova, Daniil Alfonso, Dmitry Nikolaev +1
One of the most computationally intensive parts in modern recognition systems is an inference of deep neural networks that are used for image classification, segmentation, enhancem…
Fast Implementation of 4-bit Convolutional Neural Networks for Mobile Devices
Anton Trusov, Elena Limonova, Dmitry Slugin +2
Quantized low-precision neural networks are very popular because they require less computational resources for inference and can provide high performance, which is vital for real-t…
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…
Approach for Document Detection by Contours and Contrasts
Daniil V. Tropin, Sergey A. Ilyuhin, Dmitry P. Nikolaev +1
This paper considers arbitrary document detection performed on a mobile device. The classical contour-based approach often fails in cases featuring occlusion, complex background, o…
Fast Implementation of Morphological Filtering Using ARM NEON Extension
Elena Limonova, Arseny Terekhin, Dmitry Nikolaev +1
In this paper we consider speedup potential of morphological image filtering on ARM processors. Morphological operations are widely used in image analysis and recognition and their…
Comparison of scanned administrative document images
Elena Andreeva, Vladimir V. Arlazarov, Oleg Slavin +1
In this work the methods of comparison of digitized copies of administrative documents were considered. This problem arises, for example, when comparing two copies of documents sig…
Training the Convolutional Neural Network with Statistical Dependence of the Response on the Input Data Distortion
Igor Janiszewski, Dmitry Slugin, Vladimir V. Arlazarov
The paper proposes an approach to training a convolutional neural network using information on the level of distortion of input data. The learning process is modified with an addit…
Bipolar Morphological Neural Networks: Convolution Without Multiplication
Elena Limonova, Daniil Matveev, Dmitry Nikolaev +1
In the paper we introduce a novel bipolar morphological neuron and bipolar morphological layer models. The models use only such operations as addition, subtraction and maximum insi…
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…
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…
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…