An Alternative to SOCIFS Writer Identification Framework 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 (WI) domain. This paper is meant to explore the usage of improved d...
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2013
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my.utem.eprints.119342015-05-28T04:21:19Z http://eprints.utem.edu.my/id/eprint/11934/ An Alternative to SOCIFS Writer Identification Framework for Handwritten Authorship Muda, A. K. 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 (WI) domain. This paper is meant to explore the usage of improved discretization method and explore an alternative to Cheap Computational Cost Class-Specific Swarm Sequential Selection (C4S4) WI framework for Swarm Optimized and Computationally Inexpensive Floating Selection (SOCIFS) feature selection technique in order to find the unique significant features. This paper proposes a novel feature selection framework for handwritten authorship. The promising applicability of the proposed framework has been demonstrated and worth to receive further exploration in identifying the handwritten authorship. 2013 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/11934/1/06721929.pdf Muda, A. K. and Muda, N. A. (2013) An Alternative to SOCIFS Writer Identification Framework for Handwritten Authorship. In: 2013 IEEE International Conference on Systems, Man, and Cybernetics, 13 - 16 October, 2013, Manchester, UK. |
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T Technology (General) Muda, A. K. Muda, N. A. An Alternative to SOCIFS Writer Identification Framework 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 (WI) domain.
This paper is meant to explore the usage of improved
discretization method and explore an alternative to Cheap
Computational Cost Class-Specific Swarm Sequential Selection
(C4S4) WI framework for Swarm Optimized and
Computationally Inexpensive Floating Selection (SOCIFS)
feature selection technique in order to find the unique
significant features. This paper proposes a novel feature
selection framework for handwritten authorship. The
promising applicability of the proposed framework has been
demonstrated and worth to receive further exploration in
identifying the handwritten authorship. |
format |
Conference or Workshop Item |
author |
Muda, A. K. Muda, N. A. |
author_facet |
Muda, A. K. Muda, N. A. |
author_sort |
Muda, A. K. |
title |
An Alternative to SOCIFS Writer Identification Framework
for Handwritten Authorship |
title_short |
An Alternative to SOCIFS Writer Identification Framework
for Handwritten Authorship |
title_full |
An Alternative to SOCIFS Writer Identification Framework
for Handwritten Authorship |
title_fullStr |
An Alternative to SOCIFS Writer Identification Framework
for Handwritten Authorship |
title_full_unstemmed |
An Alternative to SOCIFS Writer Identification Framework
for Handwritten Authorship |
title_sort |
alternative to socifs writer identification framework
for handwritten authorship |
publishDate |
2013 |
url |
http://eprints.utem.edu.my/id/eprint/11934/1/06721929.pdf http://eprints.utem.edu.my/id/eprint/11934/ |
_version_ |
1665905482780377088 |
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13.160551 |