Basic Test Framework for the Evaluation of Text Line Segmentation and Text Parameter Extraction [PDF]
Sensors, 2010 Text line segmentation is an essential stage in off-line optical character recognition (OCR) systems. It is a key because inaccurately segmented text lines will lead to OCR failure. Text line segmentation of handwritten documents is a complex and diverse
Darko Brodić +2 more
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An Approach to a Comprehensive Test Framework for Analysis and Evaluation of Text Line Segmentation Algorithms [PDF]
Sensors, 2011 The paper introduces a testing framework for the evaluation and validation of text line segmentation algorithms. Text line segmentation represents the key action for correct optical character recognition. Many of the tests for the evaluation of text line
Zoran N. Milivojevic +2 more
doaj +4 more sources
Line and Ligature Segmentation of Urdu Nastaleeq Text
IEEE Access, 2017 The recognition accuracy of ligature-based Urdu language optical character recognition (OCR) systems highly depends on the accuracy of segmentation that converts Urdu text into lines and ligatures. In general, lines and ligatures-based Urdu language OCRs
Ibrar Ahmad +4 more
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Historical Text Line Segmentation Using Deep Learning Algorithms: Mask-RCNN against U-Net Networks [PDF]
Journal of 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.
Florian Côme Fizaine +6 more
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Projection–Based Text Line Segmentation with a Variable Threshold [PDF]
International Journal of Applied Mathematics and Computer Science, 2017 Document image segmentation into text lines is one of the stages in unconstrained handwritten document recognition. This paper presents a new algorithm for text line separation in handwriting.
Ptak Roman +2 more
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A benchmark dataset for text line segmentation in palm leaf documents [PDF]
Scientific DataPalm leaf manuscript is one of the oldest writing media used in South and Southeast Asia. Its use spanned from the medieval era into the nineteenth century, resulting in millions of manuscripts.
Remya Sivan, Peeta Basa Pati
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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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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
exaly +4 more sources
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
exaly +3 more sources
Unsupervised text line segmentation. [PDF]
CoRR, 2020 We present an unsupervised deep learning method for text line segmentation that is inspired by the relative variance between text lines and spaces among text lines. Handwritten text line segmentation is important for the efficiency of further processing.
Berat Kurar Barakat +6 more
openaire +4 more sources