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: | , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2011
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| 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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| _version_ | 1832715952057221120 |
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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 Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknikal Malaysia Melaka |
| content_source | UTEM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.utem.eprints-247 |
| institution | Universiti Teknikal Malaysia Melaka |
| language | en |
| publishDate | 2011 |
| record_format | eprints |
| 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. |
| 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 |
| title | 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_short | 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 |
| topic | T Technology (General) |
| url | http://eprints.utem.edu.my/id/eprint/247/1/P145.pdf http://eprints.utem.edu.my/id/eprint/247/ |
| url_provider | http://eprints.utem.edu.my/ |