57 citations · 104 across the 7 of their papers we have counts for
8 papers · 1 filter
HoughToRadon Transform: New Neural Network Layer for Features Improvement in Projection Space
Alexandra Zhabitskaya, Alexander Sheshkus, Vladimir L. Arlazarov
In this paper, we introduce HoughToRadon Transform layer, a novel layer designed to improve the speed of neural networks incorporated with Hough Transform to solve semantic image s…
Tiny CNN for feature point description for document analysis: approach and dataset
A. Sheshkus, A. Chirvonaya, V. L. Arlazarov
In this paper, we study the problem of feature points description in the context of document analysis and template matching. Our study shows that the specific training data is requ…
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…
Computational optimization of convolutional neural networks using separated filters architecture
Elena Limonova, Alexander Sheshkus, Dmitry Nikolaev
This paper considers a convolutional neural network transformation that reduces computation complexity and thus speedups neural network processing. Usage of convolutional neural ne…
Vanishing Point Detection with Direct and Transposed Fast Hough Transform inside the neural network
A. Sheshkus, A. Chirvonaya, D. Matveev +2
In this paper, we suggest a new neural network architecture for vanishing point detection in images. The key element is the use of the direct and transposed Fast Hough Transforms s…
Recognition of Images of Korean Characters Using Embedded Networks
Sergey A. Ilyuhin, Alexander V. Sheshkus, Vladimir L. Arlazarov
Despite the significant success in the field of text recognition, complex and unsolved problems still exist in this field. In recent years, the recognition accuracy of the English…
HoughNet: neural network architecture for vanishing points detection
Alexander Sheshkus, Anastasia Ingacheva, Vladimir Arlazarov +1
In this paper we introduce a novel neural network architecture based on Fast Hough Transform layer. The layer of this type allows our neural network to accumulate features from lin…
Optical Font Recognition in Smartphone-Captured Images, and its Applicability for ID Forgery Detection
Yulia S. Chernyshova, Mikhail A. Aliev, Ekaterina S. Gushchanskaia +1
In this paper, we consider the problem of detecting counterfeit identity documents in images captured with smartphones. As the number of documents contain special fonts, we study t…