An Idea to Recognition of handwritten Characters using Genetic Algorithms

Authors

  • Goyal SJ Amity University, Madhya Pradesh
  • Goyal R Amity University, Madhya Pradesh

Keywords:

Machine recognition, Handwriting recognition, neural networks, generic algorithms, graph theory, coordinate geometry, offline handwriting recognition

Abstract

Challenges in handwritten characters recognition is due to the variation and distortion of handwritten characters, since different people use different style and way of draw the same shape of the characters. This paper demonstrates the nature of handwritten characters, conversion of handwritten data into electronic data, and the neural network approach to make machine capable of recognizing hand written characters. This motivates the use of Genetic Algorithms for the problem. In order to prove this, we made a pool of images of characters. We converted them to graphs. The graph of every character was intermixed to generate new or unique styles intermediate between the styles of parent character. Character recognition involved the matching of the graph generated from the unknown character image with the graphs generated by mixing.

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Published

2024-02-26

How to Cite

Goyal, S. J., & Goyal, R. (2024). An Idea to Recognition of handwritten Characters using Genetic Algorithms. COMPUSOFT: An International Journal of Advanced Computer Technology, 4(04), 1686–1689. Retrieved from https://ijact.in/index.php/j/article/view/297

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Section

Original Research Article

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