48 citations · 197 across the 7 of their papers we have counts for
7 papers
Deep learning for table detection and structure recognition: A survey
Mahmoud Kasem, Abdelrahman Abdallah, Alexander Berendeyev +6
Tables are everywhere, from scientific journals, papers, websites, and newspapers all the way to items we buy at the supermarket. Detecting them is thus of utmost importance to aut…
Investigation of Neural Network Methods for Reconstruction and Classification of Texture Images Under Conditions of Incomplete Information
Galymzhan Abdimanap, Kairat Bostanbekov, Abdelrahman Abdallah +6
The automated analysis of heterogeneous natural textures is frequently hindered by physical damage and data loss, presenting a significant challenge to computer vision. While deep…
KOHTD: Kazakh Offline Handwritten Text Dataset
Nazgul Toiganbayeva, Mahmoud Kasem, Galymzhan Abdimanap +4
Despite the transition to digital information exchange, many documents, such as invoices, taxes, memos and questionnaires, historical data, and answers to exam questions, still req…
TNCR: Table Net Detection and Classification Dataset
Abdelrahman Abdallah, Alexander Berendeyev, Islam Nuradin +1
We present TNCR, a new table dataset with varying image quality collected from free websites. The TNCR dataset can be used for table detection in scanned document images and their…
Classification of Handwritten Names of Cities and Handwritten Text Recognition using Various Deep Learning Models
Daniyar Nurseitov, Kairat Bostanbekov, Maksat Kanatov +3
This article discusses the problem of handwriting recognition in Kazakh and Russian languages. This area is poorly studied since in the literature there are almost no works in this…
Attention-based Fully Gated CNN-BGRU for Russian Handwritten Text
Abdelrahman Abdallah, Mohamed Hamada, Daniyar Nurseitov
This research approaches the task of handwritten text with attention encoder-decoder networks that are trained on Kazakh and Russian language. We developed a novel deep neural netw…
HKR For Handwritten Kazakh & Russian Database
Daniyar Nurseitov, Kairat Bostanbekov, Daniyar Kurmankhojayev +2
In this paper, we present a new Russian and Kazakh database (with about 95% of Russian and 5% of Kazakh words/sentences respectively) for offline handwriting recognition. A few pre…