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Handwritten Text Line Segmentation by Shredding Text into its Lines
2009 10th International Conference on Document Analysis and Recognition, 2009In this paper, we propose a novel technique to segment handwritten document images into text lines by shredding their surface with local minima tracers. Our approach is based on the topological assumption that for each text line, there exists a path from one side of the image to the other that traverses only one text line.
Nicolaou A., Gatos B.
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Ooze - Handwritten Text Generator
GLS KALP: Journal of Multidisciplinary StudiesIn this paper we show how Generative Adversarial Network (Goodfellow et al., 2014), more specifically Cycle-GAN(Zhu et al., 2017), can be used for Human like handwriting generation with output size up to a text line. The methodology used in Cycle-GAN is to establish translation between two different domains (e.g., connection between image of horse and ...
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Recognition of Short Handwritten Texts
2004Building on our 10-year-experience with script recognition systems, a new reader generation was designed. Previously, only single handwritten words were compared against a dictionary. Now a short text is modeled and processed as a whole. The system does not proceed in a linear fashion anymore, but uses feedback between image processing, character ...
Michael Boldt, Christopher Asp
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Transfiguring Handwritten Text and Typewritten Text
2022M. Keerthana +4 more
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Restoring and attributing ancient texts using deep neural networks
Nature, 2022Yannis Assael +2 more
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Handwritten Text Recognition Using CRNN
2022 8th International Conference on Contemporary Information Technology and Mathematics (ICCITM), 2022Ahmed A. Idris, Dujan B. Taha
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An integrated framework of learning and evidential reasoning for user profiling using short texts
Information Fusion, 2021Duc-Vinh Vo +2 more
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Evaluation of China's new energy vehicle policy texts with quantitative and qualitative analysis
Technology in Society, 2021小丽 王, Tugrul Daim
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Efficient Index for Handwritten Text
2009This paper deals with one of the new emerging multimedia data types, namely, handwritten cursive text. The paper presents two indexing methods for searching a collection of cursive handwriting. The first index, word-level index, treats word as pictogram and uses global features for retrieval.
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