Offline Recognition of Russian Handwriting

Student: Mustakimova Elmira

Educational Programme: Fundamental and Computational Linguistics (Bachelor)

Final Grade: 10

Year of Graduation: 2016

Modern research in Russian OCR (Optical Character Recognition) is focused on recognition of machine-printed or hand-printed text. Quite a few OCR systems can correctly recognize Russian cursive handwriting, however all such systems are commercial and closed for scientific community. This work aims at developing an open OCR system for Russian cursive script recognition. In the development of the OCR system, I intend to use neural networks and support vector machines. The paper also describes the construction of a standard dataset with alphabet characters and whole sentences for the task of Russian handwriting recognition. The dataset exterminates the necessity to collect training data for other Russian handwriting recognition systems and also allows to compare their results.

Full text (added June 2, 2016)

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