Abu Bakar, Norsharina and Shamsuddin, Siti Mariyam (2009) United zernike invariants for character images. In: Visual Informatics: Bridging Research and Practice: First International Visual Informatics Conference, IVIC 2009 Kuala Lumpur, Malaysia, November 11-13, 2009 Proceedings. Springer, Berlin/ Heidelberg, pp. 498-509. ISBN 978-3-642-05035-0
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Official URL: http://dx.doi.org/10.1007/978-3-642-05036-7_47
Feature extraction is one of the major components in traditional pattern recognition. There are many methods for extracting the features, either structural approach or global approach. In this paper, we present integrated formulation of Zernike Moments and United Moment Invariant for extracting the character images accordingly. The extraction values are validated by measuring the Inter-class and intra-class analysis to illustrate the effectiveness of the proposed solution. The results yield that the proposed method are feasible and better for extracting the images for both inter-class and intra-class analysis.
|Item Type:||Book Section|
|Uncontrolled Keywords:||pattern recognition, feature extraction, granular mining, zernike moment invariant, united moment invariant, intra-class, inter-class|
|Subjects:||T Technology > T Technology (General)|
|Divisions:||Computer Science and Information System (Formerly known)|
|Deposited By:||Siti Khairiyah Nordin|
|Deposited On:||13 Sep 2011 04:45|
|Last Modified:||05 Feb 2017 00:42|
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