Discretization of integrated moment invariants for writer identification

Azah Kamilah Muda, Siti Mariyam Shamsuddin, Maslina Darus

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Conservative regular moments have been proven to exhibit some shortcomings in the original formulations of moment functions in terms of scaling factor. Hence, an incorporated scaling factor of geometric functions into United Moment Invariant function is proposed for mining the feature of unconstrained words. Subsequently, the discrete proposed features undertake discretization procedure prior to classification for better feature representation and splendid classification accuracy. Collectively, discrete values are finite intervals in a continuous spectrum of values and well known to play important roles in data mining and knowledge discovery. Many induction algorithms found in the literature requires that training data contains only discrete features and some works better on discretized data; in particular rule based approaches like rough sets. Hence, in this study, an integrated scaling formulation of Aspect Scaling Invariant is presented in Writer Identification to hunt for the individuality perseverance. Successive exploration is executed to investigate for the suitability of discretization techniques in probing the issues of writer authorship. Mathematical proving and results of computer simulations are embraced to attest the feasibility of the proposed technique in Writer Identification. The results disclose that the proposed discretized invariants reveal 99% accuracy of classification by using 3520 training data and 880 testing data.

Original languageEnglish
Title of host publicationProceedings of the 4th IASTED International Conference on Advances in Computer Science and Technology, ACST 2008
Pages372-377
Number of pages6
Publication statusPublished - 2008
Externally publishedYes
Event4th IASTED International Conference on Advances in Computer Science and Technology, ACST 2008 - Langkawi
Duration: 2 Apr 20084 Apr 2008

Other

Other4th IASTED International Conference on Advances in Computer Science and Technology, ACST 2008
CityLangkawi
Period2/4/084/4/08

Fingerprint

Data mining
Computer simulation
Testing

Keywords

  • Discretization
  • Moment function
  • Scaling factor
  • Writer identification

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Muda, A. K., Shamsuddin, S. M., & Darus, M. (2008). Discretization of integrated moment invariants for writer identification. In Proceedings of the 4th IASTED International Conference on Advances in Computer Science and Technology, ACST 2008 (pp. 372-377)

Discretization of integrated moment invariants for writer identification. / Muda, Azah Kamilah; Shamsuddin, Siti Mariyam; Darus, Maslina.

Proceedings of the 4th IASTED International Conference on Advances in Computer Science and Technology, ACST 2008. 2008. p. 372-377.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Muda, AK, Shamsuddin, SM & Darus, M 2008, Discretization of integrated moment invariants for writer identification. in Proceedings of the 4th IASTED International Conference on Advances in Computer Science and Technology, ACST 2008. pp. 372-377, 4th IASTED International Conference on Advances in Computer Science and Technology, ACST 2008, Langkawi, 2/4/08.
Muda AK, Shamsuddin SM, Darus M. Discretization of integrated moment invariants for writer identification. In Proceedings of the 4th IASTED International Conference on Advances in Computer Science and Technology, ACST 2008. 2008. p. 372-377
Muda, Azah Kamilah ; Shamsuddin, Siti Mariyam ; Darus, Maslina. / Discretization of integrated moment invariants for writer identification. Proceedings of the 4th IASTED International Conference on Advances in Computer Science and Technology, ACST 2008. 2008. pp. 372-377
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