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Reseach Article

A Survey on Writer Identification Schemes

by Sreeraj.M, Sumam Mary Idicula
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 26 - Number 2
Year of Publication: 2011
Authors: Sreeraj.M, Sumam Mary Idicula
10.5120/3075-4205

Sreeraj.M, Sumam Mary Idicula . A Survey on Writer Identification Schemes. International Journal of Computer Applications. 26, 2 ( July 2011), 23-33. DOI=10.5120/3075-4205

@article{ 10.5120/3075-4205,
author = { Sreeraj.M, Sumam Mary Idicula },
title = { A Survey on Writer Identification Schemes },
journal = { International Journal of Computer Applications },
issue_date = { July 2011 },
volume = { 26 },
number = { 2 },
month = { July },
year = { 2011 },
issn = { 0975-8887 },
pages = { 23-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume26/number2/3075-4205/ },
doi = { 10.5120/3075-4205 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:11:47.470880+05:30
%A Sreeraj.M
%A Sumam Mary Idicula
%T A Survey on Writer Identification Schemes
%J International Journal of Computer Applications
%@ 0975-8887
%V 26
%N 2
%P 23-33
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a survey of the literature on writer identification schemes and techniques up till date. The paper outlines an overview of the writer identification schemes mainly in Chinese, English, Arabic and Persian languages. Taxonomy of different features adopted for online and offline writer identification schemes is also drawn at. The feature extraction methods adopted for the schemes are discussed in length outlining the merits and demerits of the same. In automated writer identification, text independent and text dependent methods are available which is also discussed in this paper. An evaluation of writer identification schemes under multiple languages is also analyzed by comparing the recognition rate.

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Index Terms

Computer Science
Information Sciences

Keywords

Feature extraction online and offline schemes text independent text dependent Writer identification