A Survey on Text Independent Writer Identification Methods

Authors

  • Anjumol Zachariah  PG Scholar, Department of Computer science & Engineering, College Of Engineering, Kidangoor, Kerala, India
  • Anitha Abraham  Assistant Professor, Department of Computer science & Engineering, College Of Engineering, Kidangoor, Kerala, India

Keywords:

Identification, RNN, Strokes, PDF

Abstract

Writer identification based on handwriting, the behavioral characteristic of an individual, is an efficient method. Nowadays the most popular writer identification strategy is the text independent writer identification. This paper analyses the various text independent writer identification methods. There are some methods that combines both identification and verification systems. The most recent work in this area is implemented using recurrent neural network (RNN).

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-30

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Anjumol Zachariah, Anitha Abraham, " A Survey on Text Independent Writer Identification Methods" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.364-368, March-April-2018.