KOHTD: Kazakh offline handwritten text dataset

Nazgul Toiganbayeva, Mahmoud SalahEldin Kasem, Galymzhan Abdimanap, Kairat Bostanbekov, Abdelrahman Abdallah, Anel Alimova, Daniyar B. Nurseitov

Abstract: Highlights•Introduce Kazakh handwritten text recognition research, a comprehensive dataset of Kazakh handwritten texts is necessary.•Genetic Algorithm (GA) for line and word segmentation based on random enumeration of a parameter.•Implemented state-of-the-art deep learning-based methods for table detection to create several strong baselines.•Solve a handwritten Kazakh interpretation task using well-known RNN models, such as Flor, Abdallah, Bluche, and Puigcerver HTR models.