HKR For Handwritten Kazakh & Russian Database

TL;DR

This paper introduces a comprehensive handwritten Cyrillic database for Russian and Kazakh, facilitating research in offline handwriting recognition with diverse samples from multiple writers.

Contribution

The paper presents a new, large-scale handwritten Cyrillic database for Russian and Kazakh, including pre-processing procedures and a collection of over 1400 forms from 200 writers.

Findings

Contains approximately 63,000 sentences and 715,699 symbols.

Includes data from 200 writers, enhancing diversity.

Supports deep learning research in handwriting recognition.

Abstract

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-processing and segmentation procedures have been developed together with the database. The database is written in Cyrillic and shares the same 33 characters. Besides these characters, the Kazakh alphabet also contains 9 additional specific characters. This dataset is a collection of forms. The sources of all the forms in the datasets were generated by \LaTeX which subsequently was filled out by persons with their handwriting. The database consists of more than 1400 filled forms. There are approximately 63000 sentences, more than 715699 symbols produced by approximately 200 different writers. It can serve researchers in the field of handwriting recognition tasks by using deep and machine learning.