HKR For Handwritten Kazakh & Russian Database

• URL: http://arxiv.org/abs/2007.03579v2
• Date: Wed, 8 Jul 2020 16:53:54 GMT
• Title: HKR For Handwritten Kazakh & Russian Database
• Authors: Daniyar Nurseitov, Kairat Bostanbekov, Daniyar Kurmankhojayev, Anel Alimova, Abdelrahman Abdallah
• Abstract summary: We present a new Russian and Kazakh database (with about 95% of Russian and 5% of Kazakh words/sentences respectively) for offline handwriting recognition. The database is written in Cyrillic and shares the same 33 characters. It can serve researchers in the field of handwriting recognition tasks by using deep and machine learning.
• Score: 1.7499351967216341
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

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