Using Machine Learning and Image Processing for Character Recognition:An Application for Teaching Handwriting

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

4 Citations (Scopus)

Abstract

The ultimate advances in information technologies lead to new possibilities in terms of educational approaches. One of them, which are the focus of this paper, is to improve the handwriting skills of children by use of a tablet. The Android based application presented here promotes an autonomous learning without losing the input, expertise and preferences of the teacher(s). The app is based on the use of machine learning classifiers and image processing techniques to compare the written character with the character created or uploaded by the teacher and to grade the performance accordingly.
Original languageEnglish
Title of host publication28th International Conference on Computer Applications in Industry and Engineering, CAINE 2015
Pages97-102
ISBN (Electronic)978-1-943436-00-2
Publication statusPublished - 1 Jan 2015
Event28th International Conference on Computer Applications in Industry and Engineering -
Duration: 1 Jan 2015 → …

Conference

Conference28th International Conference on Computer Applications in Industry and Engineering
Period1/01/15 → …

Keywords

  • Application programs
  • Artificial intelligence
  • Character recognition
  • Education
  • Learning systems
  • Teaching
  • Autonomous learning
  • Educational approach
  • Handwriting
  • Image processing technique
  • Self-learning
  • Written characters

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