Results 1 to 10 of about 530 (158)
Learning-Free Text Line Segmentation for Historical Handwritten Documents
Applied Sciences, 2020 We present a learning-free method for text line segmentation of historical handwritten document images. This method relies on automatic scale selection together with second derivative of anisotropic Gaussian filters to detect the blob lines that strike ...
Berat Kurar Barakat +4 more
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Line Segmentation of Handwritten Text Using Histograms and Tensor Voting
International Journal of Applied Mathematics and Computer Science, 2020 There are a large number of historical documents in libraries and other archives throughout the world. Most of them are written by hand. In many cases they exist in only one specimen and are hard to reach.
Babczyński Tomasz, Ptak Roman
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Text line and word segmentation of handwritten documents
Pattern Recognition, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ioannis Pratikakis, B Gatos
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A new scheme for unconstrained handwritten text-line segmentation
Pattern Recognition, 2011 Variations in inter-line gaps and skewed or curled text-lines are some of the challenging issues in segmentation of handwritten text-lines. Moreover, overlapping and touching text-lines that frequently appear in unconstrained handwritten text documents significantly increase segmentation complexities.
P Nagabhushan +2 more
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Historical Text Line Segmentation Using Deep Learning Algorithms: Mask-RCNN against U-Net Networks. [PDF]
J ImagingText line segmentation is a necessary preliminary step before most text transcription algorithms are applied. The leading deep learning networks used in this context (ARU-Net, dhSegment, and Doc-UFCN) are based on the U-Net architecture.
Fizaine FC +6 more
europepmc +2 more sources
Text line segmentation in handwritten documents using Mumford–Shah model [PDF]
Pattern Recognition, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tien D Bui
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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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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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Results in Engineering, 2023 Handwritten documents are, as always, highly challenging for recognition tasks compared to printed documents. Rather than using isolated characters as elementary components for recognition, practical documents use words or character strings.
Mamatarani Das, Mrutyunjaya Panda
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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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