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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Abstract
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Faculty of Information and Communication Technology > Department of Software Engineeering |
| Depositing User: | Azah Kamilah Muda |
| Date Deposited: | 25 Mar 2014 07:35 |
| Last Modified: | 28 May 2015 04:21 |
| URI: | http://eprints.utem.edu.my/id/eprint/11934 |
| Statistic Details: | View Download Statistic |
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