Handwritten Document Editor: An Approach

Authors

  • Nalawade S M.Tech. Student, Department of Computer Science and Engineering, Shri Ramdeobaba College Of Engineering and Management, Nagpur, India
  • Welekar R Assistant Professor, Department Of Computer Science and Engineering, Shri Ramdeobaba College Of Engineering and Management, Nagpur, India
  • Dugar R Module Lead, Persistent Systems Limited, Nagpur, India

Keywords:

K-NN classifier, Handwriting Recognition, Genetic Algorithm, Contour Tracing, Marching Squares Algorithm,, Image Processing

Abstract

With advancement in new technologies many individuals are moving towards personalization of the same. The same idea inspired us to develop a system which can provide a personal touch to all our documents including both electronic and paper media. In this article we are proposing a novel idea for creating an editor system which will take handwritten scanned document as the input, recognizes the characters from the document, then proceed with creating the font of recognized handwriting to allow user to edit the document. We have proposed use of genetic algorithm along with K-NN classifier for fast recognition of handwritten characters and use of marching squares algorithm for tracing contour points of characters to generate a handwritten font.

References

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Published

2024-02-26

How to Cite

Nalawade, S., Welekar, R., & Dugar, R. (2024). Handwritten Document Editor: An Approach. COMPUSOFT: An International Journal of Advanced Computer Technology, 3(05), 769–772. Retrieved from https://ijact.in/index.php/j/article/view/135

Issue

Section

Original Research Article

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