HANDWRITTEN SCRIPT AND WORD RECOGNITION – A VIEW-BASED APPROACH

Authors

  • Marek Tabedzki
  • Khalid Saeed

DOI:

https://doi.org/10.47839/ijc.5.3.413

Keywords:

Character recognition, word recognition without segmentation, minimal eigenvalues of Toeplitz matrices, neural networks

Abstract

This paper presents a hybrid system for character and word recognition. It is based on a modification to the view-based approach presented in authors’ previous works. The algorithm is appropriate for dealing with whole, unsegmented words or isolated characters. The characteristic vectors taken from views of the tested image are processed with the method of minimal eigenvalues of Toeplitz matrices. The obtained series of minimal eigenvalues are used for classification with Artificial Neural Networks. The results of the experiments on different sets of words and letters are presented.

References

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Published

2014-08-01

How to Cite

Tabedzki, M., & Saeed, K. (2014). HANDWRITTEN SCRIPT AND WORD RECOGNITION – A VIEW-BASED APPROACH. International Journal of Computing, 5(3), 99-106. https://doi.org/10.47839/ijc.5.3.413

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Articles