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PSO and Computationally Inexpensive Sequential Forward Floating Selection in Acquiring Significant Features for Handwritten Authorship

The uniqueness of shape and style of handwriting can be used to identify the significant features in confirming 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...

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Main Authors: Muda, A. K., Yun-Huoy, C., Muda, N. A.
Format: Conference or Workshop Item
Language:English
Published: 2011
Subjects:
T Technology (General)
Online Access:http://eprints.utem.edu.my/id/eprint/247/1/P145.pdf
http://eprints.utem.edu.my/id/eprint/247/
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spelling my.utem.eprints.2472015-05-28T02:17:26Z http://eprints.utem.edu.my/id/eprint/247/ PSO and Computationally Inexpensive Sequential Forward Floating Selection in Acquiring Significant Features for Handwritten Authorship Muda, A. K. Yun-Huoy, C. Muda, N. A. T Technology (General) The uniqueness of shape and style of handwriting can be used to identify the significant features in confirming 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 in order to find the most significant features. This paper proposes a hybrid feature selection method of Particle Swarm Optimization and Computationally Inexpensive Sequential Forward Floating Selection for Writer Identification. The promising applicability of the proposed method has been demonstrated and worth to receive further exploration in identifying the handwritten authorship. 2011 Conference or Workshop Item NonPeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/247/1/P145.pdf Muda, A. K. and Yun-Huoy, C. and Muda, N. A. (2011) PSO and Computationally Inexpensive Sequential Forward Floating Selection in Acquiring Significant Features for Handwritten Authorship. In: International Conference on Hybrid Intelligent Systems 2011, 5 - 8 Dec, 2011, Melaka, Malaysia.
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Muda, A. K.
Yun-Huoy, C.
Muda, N. A.
PSO and Computationally Inexpensive Sequential Forward Floating Selection in Acquiring Significant Features for Handwritten Authorship
description The uniqueness of shape and style of handwriting can be used to identify the significant features in confirming 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 in order to find the most significant features. This paper proposes a hybrid feature selection method of Particle Swarm Optimization and Computationally Inexpensive Sequential Forward Floating Selection for Writer Identification. The promising applicability of the proposed method has been demonstrated and worth to receive further exploration in identifying the handwritten authorship.
format Conference or Workshop Item
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.
title PSO and Computationally Inexpensive Sequential Forward Floating Selection in Acquiring Significant Features for Handwritten Authorship
title_short PSO and Computationally Inexpensive Sequential Forward Floating Selection in Acquiring Significant Features for Handwritten Authorship
title_full PSO and Computationally Inexpensive Sequential Forward Floating Selection in Acquiring Significant Features for Handwritten Authorship
title_fullStr PSO and Computationally Inexpensive Sequential Forward Floating Selection in Acquiring Significant Features for Handwritten Authorship
title_full_unstemmed PSO and Computationally Inexpensive Sequential Forward Floating Selection in Acquiring Significant Features for Handwritten Authorship
title_sort pso and computationally inexpensive sequential forward floating selection in acquiring significant features for handwritten authorship
publishDate 2011
url http://eprints.utem.edu.my/id/eprint/247/1/P145.pdf
http://eprints.utem.edu.my/id/eprint/247/
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score 13.211869

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