Computationally Inexpensive Sequential Forward Floating Selection for Acquiring Significant Features 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 where to find the unique feat...

Full description

Bibliographic Details
Main Authors: Muda, A. K., Yun-Huoy, C., Muda, N. A.
Format: Article
Language:English
English
Published: The Society of Digital Information and Wireless Communications, 2011
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/140/
http://eprints.utem.edu.my/id/eprint/140/1/Vol1_No3_50.pdf
http://eprints.utem.edu.my/id/eprint/140/2/Vol1_No3_50.pdf
_version_ 1848886889101131776
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 where to find the unique features of individual which also known as Individuality of Handwriting. This paper proposes an improved Sequential Forward Floating Selection method besides the exploration of significant features for invarianceness of authorship from global shape features by using various wrapper feature selection methods. The promising results show that the proposed method is worth to receive further exploration in identifying the handwritten authorship.
first_indexed 2025-11-15T19:45:40Z
format Article
id utem-140
institution Universiti Teknikal Malaysia Melaka
institution_category Local University
language English
English
last_indexed 2025-11-15T19:45:40Z
publishDate 2011
publisher The Society of Digital Information and Wireless Communications,
recordtype eprints
repository_type Digital Repository
spelling utem-1402021-09-21T14:34:07Z http://eprints.utem.edu.my/id/eprint/140/ Computationally Inexpensive Sequential Forward Floating Selection for Acquiring Significant Features for Authorship Invarianceness in Writer Identification Muda, A. K. Yun-Huoy, C. Muda, N. A. Q Science (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 where to find the unique features of individual which also known as Individuality of Handwriting. This paper proposes an improved Sequential Forward Floating Selection method besides the exploration of significant features for invarianceness of authorship from global shape features by using various wrapper feature selection methods. The promising results show that the proposed method is worth to receive further exploration in identifying the handwritten authorship. The Society of Digital Information and Wireless Communications, 2011 Article NonPeerReviewed text en http://eprints.utem.edu.my/id/eprint/140/1/Vol1_No3_50.pdf text en http://eprints.utem.edu.my/id/eprint/140/2/Vol1_No3_50.pdf Muda, A. K. and Yun-Huoy, C. and Muda, N. A. (2011) Computationally Inexpensive Sequential Forward Floating Selection for Acquiring Significant Features for Authorship Invarianceness in Writer Identification. International Journal on New Computer Architectures and Their Applications (IJNCAA) 1(3): 581-598, 3 (1). pp. 581-598. ISSN 2220-9085
spellingShingle Q Science (General)
Muda, A. K.
Yun-Huoy, C.
Muda, N. A.
Computationally Inexpensive Sequential Forward Floating Selection for Acquiring Significant Features for Authorship Invarianceness in Writer Identification
title Computationally Inexpensive Sequential Forward Floating Selection for Acquiring Significant Features for Authorship Invarianceness in Writer Identification
title_full Computationally Inexpensive Sequential Forward Floating Selection for Acquiring Significant Features for Authorship Invarianceness in Writer Identification
title_fullStr Computationally Inexpensive Sequential Forward Floating Selection for Acquiring Significant Features for Authorship Invarianceness in Writer Identification
title_full_unstemmed Computationally Inexpensive Sequential Forward Floating Selection for Acquiring Significant Features for Authorship Invarianceness in Writer Identification
title_short Computationally Inexpensive Sequential Forward Floating Selection for Acquiring Significant Features for Authorship Invarianceness in Writer Identification
title_sort computationally inexpensive sequential forward floating selection for acquiring significant features for authorship invarianceness in writer identification
topic Q Science (General)
url http://eprints.utem.edu.my/id/eprint/140/
http://eprints.utem.edu.my/id/eprint/140/1/Vol1_No3_50.pdf
http://eprints.utem.edu.my/id/eprint/140/2/Vol1_No3_50.pdf