A Survey on Text Independent Writer Identification Methods

Authors(2) :-Anjumol Zachariah, Anitha Abraham

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).

Authors and Affiliations

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

Identification, RNN, Strokes, PDF

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Publication Details

Published in : Volume 3 | Issue 3 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 364-368
Manuscript Number : CSEIT1833104
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

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.
Journal URL : http://ijsrcseit.com/CSEIT1833104

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