A Comparative Study of Feature Selection Methods for Authorship Invarianceness in Writer Identification

Handwriting is individualistic. The uniqueness of shape and style of handwriting can be used to identify the significant features in authenticating the author of writing. Acquiring these significant features leads to an important research in Writer Identification domain. This paper is meant to exp...

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Main Authors: Muda, A. K., Yun-Huoy, C., Muda, N. A.
Format: Article
Language:English
Published: 2011
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/252/
http://eprints.utem.edu.my/id/eprint/252/1/Paper51_published.pdf
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author Muda, A. K.
Yun-Huoy, C.
Muda, N. A.
author_facet Muda, A. K.
Yun-Huoy, C.
Muda, N. A.
author_sort Muda, A. K.
building UTeM Institutional Repository
collection Online Access
description Handwriting is individualistic. The uniqueness of shape and style of handwriting can be used to identify the significant features in authenticating the author of writing. Acquiring these significant features leads to an important research in Writer Identification domain. This paper is meant to explore the usage of feature selection in Writer Identification. Various filter and wrapper feature selection methods are selected and their performances are analyzed. This paper describes an improved sequential forward feature selection method besides the exploration of significant features for invarianceness of authorship from global shape features by using various feature selection methods. The promising results show that the proposed method is worth to receive further exploration in identifying the handwritten authorship.
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spelling utem-2522021-09-29T10:34:32Z http://eprints.utem.edu.my/id/eprint/252/ A Comparative Study of Feature Selection Methods for Authorship Invarianceness in Writer Identification Muda, A. K. Yun-Huoy, C. Muda, N. A. T Technology (General) Handwriting is individualistic. The uniqueness of shape and style of handwriting can be used to identify the significant features in authenticating the author of writing. Acquiring these significant features leads to an important research in Writer Identification domain. This paper is meant to explore the usage of feature selection in Writer Identification. Various filter and wrapper feature selection methods are selected and their performances are analyzed. This paper describes an improved sequential forward feature selection method besides the exploration of significant features for invarianceness of authorship from global shape features by using various feature selection methods. The promising results show that the proposed method is worth to receive further exploration in identifying the handwritten authorship. 2011 Article NonPeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/252/1/Paper51_published.pdf Muda, A. K. and Yun-Huoy, C. and Muda, N. A. (2011) A Comparative Study of Feature Selection Methods for Authorship Invarianceness in Writer Identification. International Journal of Computer Information Systems and Industrial Management Applications, Volume 4 (2012). pp. 467-476. ISSN 2150-7988
spellingShingle T Technology (General)
Muda, A. K.
Yun-Huoy, C.
Muda, N. A.
A Comparative Study of Feature Selection Methods for Authorship Invarianceness in Writer Identification
title A Comparative Study of Feature Selection Methods for Authorship Invarianceness in Writer Identification
title_full A Comparative Study of Feature Selection Methods for Authorship Invarianceness in Writer Identification
title_fullStr A Comparative Study of Feature Selection Methods for Authorship Invarianceness in Writer Identification
title_full_unstemmed A Comparative Study of Feature Selection Methods for Authorship Invarianceness in Writer Identification
title_short A Comparative Study of Feature Selection Methods for Authorship Invarianceness in Writer Identification
title_sort comparative study of feature selection methods for authorship invarianceness in writer identification
topic T Technology (General)
url http://eprints.utem.edu.my/id/eprint/252/
http://eprints.utem.edu.my/id/eprint/252/1/Paper51_published.pdf