Algorithm for optical handwritten characters recognition based on structural components extraction

P. A. Khaustov, V. G. Spitsyn, E. I. Maksimova

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The algorithm for character topology composition has been proposed. Metrics for character graphs comparison has been suggested. The proposed algorithm has been implemented in character processing application and has been approved on MNIST handwriting characters database and writing characters examples from the forms of a unified state exam.

Original languageEnglish
Title of host publicationProceedings - 2016 11th International Forum on Strategic Technology, IFOST 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages355-358
Number of pages4
ISBN (Electronic)9781509008551
DOIs
Publication statusPublished - 21 Mar 2017
Event11th International Forum on Strategic Technology, IFOST 2016 - Novosibirsk, Russian Federation
Duration: 1 Jun 20163 Jun 2016

Conference

Conference11th International Forum on Strategic Technology, IFOST 2016
CountryRussian Federation
CityNovosibirsk
Period1.6.163.6.16

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Keywords

  • handwritten characters
  • Lee algorithm
  • OCR
  • Optical character recognition
  • skeletonization
  • structural components

ASJC Scopus subject areas

  • Ceramics and Composites
  • Computational Mathematics
  • Computer Science Applications
  • Mechanical Engineering
  • Mechanics of Materials
  • Electronic, Optical and Magnetic Materials
  • Control and Optimization

Cite this

Khaustov, P. A., Spitsyn, V. G., & Maksimova, E. I. (2017). Algorithm for optical handwritten characters recognition based on structural components extraction. In Proceedings - 2016 11th International Forum on Strategic Technology, IFOST 2016 (pp. 355-358). [7884126] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IFOST.2016.7884126