Quantitative analysis of mathematical documents

  title={Quantitative analysis of mathematical documents},
  author={Seiichi Uchida and Akihiro Nomura and Masakazu Suzuki},
  journal={International Journal of Document Analysis and Recognition (IJDAR)},
Mathematical documents are analyzed from several viewpoints for the development of practical OCR for mathematical and other scientific documents. Specifically, four viewpoints are quantified using a large-scale database of mathematical documents, containing 690,000 manually ground-truthed characters: (i) the number of character categories, (ii) abnormal characters (e.g., touching characters), (iii) character size variation, and (iv) the complexity of the mathematical expressions. The result of… CONTINUE READING
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Automatic referencelinking in distributeddigital libraries

  • D. BlosteinandA. Grbavec
  • 2003

Performancevalua - tion of arobustmethodfor mathematicalexpressionrecognition

  • U. Garain J. Mitra, B. B. Chaudhuri, T. Pal
  • 2001

Report on the retrodigitization project “Archiv der Mathematik

  • GO Michler
  • Archiv der Mathematik
  • 2001
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