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Cited by 284Handwritten Text Recognition TechniquesMathematics, Computing, and Information ProcessingImage Retrieval and Classification Techniques

Recognition and retrieval of mathematical expressions

Zanibbi, Richard, Blostein, Dorothea·2012·International Journal on Document Analysis and Recognition (IJDAR)
DOI 10.1007/s10032-011-0174-4
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Crossref · 10.1007/s10032-011-0174-4

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  • Spatial organization-relative positioning, alignment, and grouping-directly contributes to semantic meaning in mathematical notation.

    “A similar perspective appears in studies on mathematical notation, such as those by Zanibbi and Blostein [24], which highlight how spatial organization -relative positioning, alignment, and grouping -directly contributes to semantic meaning.”

    From Human vs LLM-Generated Alt Text for STEM Image Accessibility: A Comparative Study (2026) · cites this paper as [24]

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Authors
Zanibbi, R., & Blostein, D.
Affiliations
  • Rochester Institute of Technology (US)
  • Queen's University (CA)
Corresponding author
Zanibbi, Richard
ORCID
Zanibbi, Richard
Venue
International Journal on Document Analysis and Recognition (IJDAR)
Publisher
Springer Science and Business Media LLC
Published
2011-10-26
Volume
15
Issue
4
Pages
331-357
ISSN
  • 1433-2825 (ISSN-L)
  • 1433-2833
DOI
10.1007/s10032-011-0174-4
OpenAlex
W2031071334
Cited by
284
References
1
Citations by year
2026: 10 · 2025: 10 · 2024: 13 · 2023: 25 · 2022: 20 · 2021: 37 · 2020: 24 · 2019: 26 · 2018: 6 · 2017: 17 · 2016: 24 · 2015: 21 · 2014: 21 · 2013: 25 · 2012: 4
FWCI
17.55
Type
journal article
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)
Locations
International Journal on Document Analysis and Recognition (IJDAR) (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Handwritten Text Recognition Techniques
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Mathematics, Computing, and Information Processing
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
Keywords
mathematical expression recognition, query construction, normalization, indexing, relevance feedback, meaning representation, joint optimization, user interface, document retrieval, mathematical notation

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