Abstract

Text recognition is an important task in computer vision, and one of the challenges is the impact of segmentation on text recognition effect. Tibetan text recognition is mostly based on complex word segmentation algorithms. For its high cost problem of manual annotation and difficulty of recognition, this paper studies the segmentation-free multi-line recognition algorithm for Tibetan text. After experiments on generating Tibetan document dataset based on Tibetan layout characteristics, good recognition results are achieved with CER reaching 0.09 %.

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