Results 1 to 10 of about 258 (208)
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
doaj +4 more sources
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
doaj +5 more sources
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
doaj +3 more sources
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
doaj +2 more sources
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
doaj +3 more sources
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
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 +3 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
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
openaire +2 more sources