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An Optical Character Recognition System for Old Russian and Church Slavonic

Student: Pivovarov Aleksandr

Supervisor: Olga Lyashevskaya

Faculty: Faculty of Humanities

Educational Programme: Fundamental and Computational Linguistics (Bachelor)

Year of Graduation: 2018

Аннотация Handwritten Cyrillic uncial or semiuncial text is fairly easy to segment, however, the OCR task is somewhat complicated by the texture of the parchment and the varied shapes of the handwritten glyphs. In this paper, a segmentational OCR system for Cyrillic uncial and semi-uncial text based on a deep convolutional neural network with additional Markov output correction is presented. The system implements the full OCR stack from input preprocessing to classifier output correction.

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