6 citations · 6 across the 2 of their papers we have counts for
5 papers
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…
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…
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…
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…