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Automatic Single Page-Based Algorithms for Medieval Manuscript Analysis
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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The Hungarian method for the assignment problem
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A word extraction algorithm for machine-printed documents using a 3D neighborhood graph model
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Text line segmentation of historical documents: a survey
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Segmentation of historical machine-printed documents using Adaptive Run Length Smoothing and skeleton segmentation paths
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Convex solution of a permutation problem
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Text line detection in handwritten documents
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Text line and word segmentation of handwritten documents
inferredcites →https://doi.org/10.1016/j.patcog.2009.02.005openalex-snapshot
Handwritten word-spotting using hidden Markov models and universal vocabularies
inferredcites →https://doi.org/10.1016/j.patrec.2013.07.007openalex-snapshot
Text line extraction for historical document images
inferredcites →https://doi.org/10.1109/34.667886openalex-snapshot
Document representation and its application to page decomposition
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Twenty years of document image analysis in PAMI
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A robust algorithm for text string separation from mixed text/graphics images
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Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
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Word image matching using dynamic time warping
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Line separation for complex document images using fuzzy runlength
inferredcites →https://doi.org/10.1109/digitalheritage.2013.6743802openalex-snapshot
ATHENA: Automatic text height extraction for the analysis of old handwritten manuscripts
inferredcites →https://doi.org/10.1109/digitalheritage.2015.7419462openalex-snapshot
Automated color clustering for medieval manuscript analysis
inferredcites →https://doi.org/10.1109/icdar.1995.602017openalex-snapshot
A Hough based algorithm for extracting text lines in handwritten documents
inferredcites →https://doi.org/10.1109/icdar.2005.184openalex-snapshot
ICDAR2005 page segmentation competition
inferredcites →https://doi.org/10.1109/icdar.2009.191openalex-snapshot
Line Segmentation for Degraded Handwritten Historical Documents
inferredcites →https://doi.org/10.1109/icdar.2009.245openalex-snapshot
ICDAR 2009 Handwriting Segmentation Contest
inferredcites →https://doi.org/10.1109/icdar.2009.275openalex-snapshot
ICDAR 2009 Page Segmentation Competition
inferredcites →https://doi.org/10.1109/icdar.2009.79openalex-snapshot
A Steerable Directional Local Profile Technique for Extraction of Handwritten Arabic Text Lines
inferredcites →https://doi.org/10.1109/icdar.2013.261openalex-snapshot
A Binarization-Free Clustering Approach to Segment Curved Text Lines in Historical Manuscripts
inferredcites →https://doi.org/10.1109/icdar.2013.283openalex-snapshot
ICDAR 2013 Handwriting Segmentation Contest
inferredcites →https://doi.org/10.1109/icfhr.2010.36openalex-snapshot
Semi-automatic Annotation Tool for Medieval Manuscripts
inferredcites →https://doi.org/10.1109/icfhr.2014.127openalex-snapshot
Seam Carving for Text Line Extraction on Color and Grayscale Historical Manuscripts
inferredcites →https://doi.org/10.1109/icfhr.2014.31openalex-snapshot
A Coarse-to-Fine Approach for Layout Analysis of Ancient Manuscripts
inferredcites →https://doi.org/10.1109/icfhr.2014.88openalex-snapshot
Page Segmentation for Historical Handwritten Document Images Using Color and Texture Features
inferredcites →https://doi.org/10.1109/icpr.2014.497openalex-snapshot
Performance Evaluation and Benchmarking of Six Texture-Based Feature Sets for Segmenting Historical Documents
inferredcites →https://doi.org/10.1109/lsp.2014.2325940openalex-snapshot
Language-Independent Text-Line Extraction Algorithm for Handwritten Documents
inferredcites →https://doi.org/10.1109/tip.2011.2166972openalex-snapshot
Text-Line Extraction in Handwritten Chinese Documents Based on an Energy Minimization Framework
inferredcites →https://doi.org/10.1109/tpami.1979.4766909openalex-snapshot
A Cluster Separation Measure
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A scale space approach for automatically segmenting words from historical handwritten documents
inferredcites →https://doi.org/10.1109/tpami.2007.70837openalex-snapshot
Performance Evaluation and Benchmarking of Six-Page Segmentation Algorithms
inferredcites →https://doi.org/10.1109/tpami.2008.300openalex-snapshot
LSD: A Fast Line Segment Detector with a False Detection Control
inferredcites →https://doi.org/10.1117/12.704538openalex-snapshot
A statistical approach to line segmentation in handwritten documents
inferredcites →https://doi.org/10.1145/1646396.1646426openalex-snapshot
Picture extraction from digitized historical manuscripts
inferredcites →https://doi.org/10.1632/pmla.2009.124.2.632openalex-snapshot
The Prehistory of the Book
inferredcites →https://doi.org/10.2312/gch.20141302openalex-snapshot
A TaLISMAN: Automatic Text and LIne Segmentation of historical MANuscripts
inferredcites →https://doi.org/10.5555/1283383.1283494openalex-snapshot
k-means++: the advantages of careful seeding
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s11831-025-10393-7openalex-snapshot
Applications of Artificial Intelligence and Machine Learning in the Preservation and Analysis of Heritage Structures: A Comprehensive Review
inferred← citeshttps://doi.org/10.1016/j.patrec.2020.02.017openalex-snapshot
Machine Learning for Cultural Heritage: A Survey
inferred← citeshttps://doi.org/10.1117/1.jei.26.1.011008openalex-snapshot
Special object extraction from medieval books using superpixels and bag-of-features
inferred← citeshttps://doi.org/10.1145/3461015openalex-snapshot
Data and Process Quality Evaluation in a Textual Big Data Archiving System
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Integrating Textual-Based and Visual-Based Features in Poem Detection for Digitized Historical Newspaper Document Images
inferred← citeshttps://doi.org/10.1353/dph.2025.a959166openalex-snapshot
How to Look at Lots of Books of Hours: Big Data and Disciplinary Difference
inferred← citeshttps://doi.org/10.3390/books978-3-03897-106-1openalex-snapshot
Document Image Processing
inferred← citeshttps://doi.org/10.3390/jimaging4040057openalex-snapshot
Text/Non-Text Separation from Handwritten Document Images Using LBP Based Features: An Empirical Study
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Historical Document Processing: Historical Document Processing: A Survey of Techniques, Tools, and Trends
inferred← citeshttps://doi.org/10.5281/zenodo.1468269openalex-snapshot
Automatic Algorithms For Medieval Manuscript Analysis
inferred← citeshttps://doi.org/10.5617/dhnbpub.11237openalex-snapshot
An Unsupervised Learning Approach to Text Line Detection in Complex Illuminated Medieval Manuscripts
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