Handwritten Kazakh and Russian (HKR) database for text recognition

In this paper, we present a new Russian and Kazakh database (with about 95% of 5% words/sentences respectively) for offline handwriting recognition. A few pre-processing segmentation procedures have been developed together with the database. The is written in Cyrillic shares same 33 characters. Besides these characters, alphabet also contains 9 additional specific This dataset collection forms. sources all forms datasets were generated by \LaTeX which subsequently was filled out persons their handwriting. consists more than 1400 There are approximately 63000 sentences, 715699 symbols produced 200 different writers. It can serve researchers field recognition tasks using deep machine learning.