HoughToRadon Transform: New Neural Network Layer for Features Improvement in Projection Space

no code implementations • 5 Feb 2024 • 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 segmentation problems.

Image Segmentation Segmentation +1

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

no code implementations • 27 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.

Recognition of Images of Korean Characters Using Embedded Networks

no code implementations • 11 Nov 2019 • 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.

Optical Character Recognition (OCR)

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

7 code implementations • 16 Jul 2018 • Vladimir V. Arlazarov, Konstantin Bulatov, Timofey Chernov, Vladimir L. Arlazarov

The main goal of this paper is to present a dataset.

Face Detection