Fuzzy C mean clustering in off-line handwriting signature verfication system

Lee, Beng Yong (2006) Fuzzy C mean clustering in off-line handwriting signature verfication system. Masters thesis, Universiti Malaysia Sarawak (UNIMAS).

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Abstract

This research is the first research that suggests the usage of the stable region of a signature for verification purpose. This research highlighted the design and development of the proposed Fuzzy C Mean clustering to determine the stable segments of a signature generated from windowing segmentation process where features could be extracted from signature images. Six features are extracted from each stable segment i.e. Image Size, Ratio of height to width, slant, Maximum horizontal projection, Vertical centre of mass and Horizontal Relative gravity centre/ Horizontal centre of mass. Besides that, this research also demonstrated how to select a best features to represent each determined stable segment.

Item Type: Thesis (Masters)
Additional Information: Thesis (M.Sc.) - Universiti Malaysia Sarawak, 2006.
Uncontrolled Keywords: fuzzy c, clustering mean, verification system, Universiti Malaysia Sarawak, UNIMAS, postgraduate, research, IPTA, education, universiti, university, kuching, samarahan, sarawak, malaysia
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology
Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Karen Kornalius
Date Deposited: 14 Apr 2014 08:40
Last Modified: 21 Apr 2026 01:49
URI: http://ir.unimas.my/id/eprint/1705

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