Results 11 to 20 of about 35,621 (257)
Linecounter: Learning Handwritten Text Line Segmentation By Counting [PDF]
2021 IEEE International Conference on Image Processing (ICIP), 2021 Handwritten Text Line Segmentation (HTLS) is a low-level but important task for many higher-level document processing tasks like handwritten text recognition. It is often formulated in terms of semantic segmentation or object detection in deep learning. However, both formulations have serious shortcomings.
Deng Li 0002, Yue Wu 0001, Yicong Zhou
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Handwriting-Based Text Line Segmentation from Malayalam Documents
Applied Sciences, 2023 Optical character recognition systems for Malayalam handwritten documents have become an open research area. A major hindrance in this research is the unavailability of a benchmark database. Therefore, a new database of 402 Malayalam handwritten document
Pearlsy P V, Deepa Sankar
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Text line segmentation of historical documents: a survey [PDF]
International Journal of Document Analysis and Recognition (IJDAR), 2006 There is a huge amount of historical documents in libraries and in various National Archives that have not been exploited electronically. Although automatic reading of complete pages remains, in most cases, a long-term objective, tasks such as word spotting, text/image alignment, authentication and extraction of specific fields are in use today.
Laurence Likforman-Sulem +2 more
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Understanding Unsupervised Deep Learning for Text Line Segmentation
Applied Sciences, 2022 We propose an unsupervised feature learning approach for segmenting text lines of handwritten document images with no labelling effort. Humans can easily group local text line features to global coarse patterns.
Ahmad Droby +5 more
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Combining Morphological and Histogram based Text Line Segmentation in the OCR Context [PDF]
Journal of Data Mining and Digital Humanities, 2021 Text line segmentation is one of the pre-stages of modern optical character recognition systems. The algorithmic approach proposed by this paper has been designed for this exact purpose.
Pit Schneider
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End-To-End Deep-Learning-Based Tamil Handwritten Document Recognition and Classification Model
IEEE Access, 2023 Overview: Handwriting recognition (HR) involves converting handwritten text into machine-readable text. Tamil handwritten document recognition remains a challenging process in various text real-world applications owing to the differences in the sizes ...
C. Vinotheni, S. Lakshmana Pandian
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TranSentCut - transformer based Thai sentence segmentation [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2022 We propose TranSentCut, a sentence segmentation model for Thai based on the transformer architecture. Sentence segmentation for Thai is a problem because there is no end of sentence marker like in other languages. Existing methods make use of POS tags,
Sumeth Yuenyong +1 more
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Segmentation and Recognition for Historical Tibetan Document Images
IEEE Access, 2020 As a shining pearl in traditional Tibetan culture, historical Tibetan documents have received extensive attention from historians, linguists and Buddhist scholars.
Longlong Ma +5 more
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You Actually Look Twice At it (YALTAi): using an object detection approach instead of region segmentation within the Kraken engine [PDF]
Journal of Data Mining and Digital Humanities, 2023 Layout Analysis (the identification of zones and their classification) is the first step along line segmentation in Optical Character Recognition and similar tasks.
Thibault Clérice
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End-to-End Transcript Alignment of 17th Century Manuscripts: The Case of Moccia Code
Journal of Imaging, 2023 The growth of digital libraries has yielded a large number of handwritten historical documents in the form of images, often accompanied by a digital transcription of the content. The ability to track the position of the words of the digital transcription
Giuseppe De Gregorio +2 more
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