Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Labeling, Cutting, Grouping: an Efficient Text Line Segmentation Method
  for Medieval Manuscripts   This paper introduces a new way for text-line extraction by integrating
deep-learning based pre-classification and state-of-the-art segmentation
methods. Text-line extraction in complex handwritten documents poses a
significant challenge, even to the most modern computer vision algorithms.
Historical manuscripts are a particularly hard class of documents as they
present several forms of noise, such as degradation, bleed-through, interlinear
glosses, and elaborated scripts. In this work, we propose a novel method which
uses semantic segmentation at pixel level as intermediate task, followed by a
text-line extraction step. We measured the performance of our method on a
recent dataset of challenging medieval manuscripts and surpassed
state-of-the-art results by reducing the error by 80.7%. Furthermore, we
demonstrate the effectiveness of our approach on various other datasets written
in different scripts. Hence, our contribution is two-fold. First, we
demonstrate that semantic pixel segmentation can be used as strong denoising
pre-processing step before performing text line extraction. Second, we
introduce a novel, simple and robust algorithm that leverages the high-quality
semantic segmentation to achieve a text-line extraction performance of 99.42%
line IU on a challenging dataset.

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The categories of this paper are: funct-an
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The categories of this paper are: alg-geom
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The categories of this paper are: cmp-lg
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The categories of this paper are: chao-dyn
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The categories of this paper are: econ
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The categories of this paper are: eess
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The categories of this paper are: patt-sol
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The categories of this paper are: atom-ph
2
The categories of this paper are: math
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The categories of this paper are: q-bio
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The categories of this paper are: hep-th
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The categories of this paper are: chem-ph
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The categories of this paper are: hep-ex
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The categories of this paper are: ao-sci
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The categories of this paper are: gr-qc
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The categories of this paper are: q-alg