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Cited by 174Handwritten Text Recognition TechniquesMathematics, Computing, and Information ProcessingVehicle License Plate Recognition

INFTY: an integrated OCR system for mathematical documents

Suzuki, Masakazu, Tamari, Fumikazu, Fukuda, Ryoji, Uchida, Seiichi, Kanahori, Toshihiro·2003·Proceedings of the 2003 ACM symposium on Document engineering
DOI 10.1145/958220.958239
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Abstract

An integrated OCR system for mathematical documents, called INFTY, is presented. INFTY consists of four procedures, i.e., layout analysis, character recognition, structure analysis of mathematical expressions, and manual error correction. In those procedures, several novel techniques are utilized for better recognition performance. Experimental results on about 500 pages of mathematical documents showed high character recognition rates on both mathematical expressions and ordinary texts, and sufficient performance on the structure analysis of the mathematical expressions.

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Authors
Suzuki, M., Tamari, F., Fukuda, R., Uchida, S., & Kanahori, T.
Affiliations
  • Kyushu University (JP)
  • University of Teacher Education Fukuoka (JP)
  • Oita University (JP)
  • Tsukuba University of Technology (JP)
ORCID
Venue
Proceedings of the 2003 ACM symposium on Document engineering
Publisher
ACM
Published
2003-11-20
Pages
95-104
DOI
10.1145/958220.958239
OpenAlex
W2011296149
Cited by
174
References
0
Citations by year
2026: 5 · 2025: 8 · 2024: 6 · 2023: 9 · 2022: 6 · 2021: 10 · 2020: 7 · 2019: 7 · 2018: 3 · 2017: 8 · 2016: 6 · 2015: 2 · 2014: 7 · 2013: 8 · 2012: 11
FWCI
4.92
Type
conference paper
Language
en
Open access
closed
Licence
www.acm.org/publications/policies/copyright_policy#Background (vor)
Locations
ACM Symposium on Document Engineering (DocEng) (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 › Engineering › Media Technology › Vehicle License Plate Recognition
Keywords
optical character recognition, mathematical documents, layout analysis, character recognition

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