Mining generalized features for writer identification

Azah Kamilah Muda, Siti Mariyam Shamsuddin, Maslina Darus

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

2 Citations (Scopus)

Abstract

This paper proposes generalized features of various handwriting in forensic documents for writer identification. In forensic documents, graphologies need to scrutinize, analyze and evaluate the features of suspected authors from questioned handwriting and compared these documents with the original handwriting. This is due to the uniqueness of the shape and style of handwriting that can be used for author's authentication. In this study, by acquiring the individuality features from these question documents will lead to the proposed concept of Authorship Invarianceness. However, this paper will focus on Discretization concept that will probe authors' individuality representation by mining the features granularly. This is done by partitioning the attributes into writers' intervals. Our experiments have illustrated that the proposed discretization gives better identification rates compared to non-discretized features.

Original languageEnglish
Title of host publication2009 2nd Conference on Data Mining and Optimization, DMO 2009
Pages32-36
Number of pages5
DOIs
Publication statusPublished - 2009
Event2009 2nd Conference on Data Mining and Optimization, DMO 2009 - Bangi, Selangor
Duration: 27 Oct 200928 Oct 2009

Other

Other2009 2nd Conference on Data Mining and Optimization, DMO 2009
CityBangi, Selangor
Period27/10/0928/10/09

Fingerprint

Authentication
Experiments

Keywords

  • Authorship invarianceness
  • Forensic document analysis
  • Moment function
  • Writer identification

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Software

Cite this

Muda, A. K., Shamsuddin, S. M., & Darus, M. (2009). Mining generalized features for writer identification. In 2009 2nd Conference on Data Mining and Optimization, DMO 2009 (pp. 32-36). [5341915] https://doi.org/10.1109/DMO.2009.5341915

Mining generalized features for writer identification. / Muda, Azah Kamilah; Shamsuddin, Siti Mariyam; Darus, Maslina.

2009 2nd Conference on Data Mining and Optimization, DMO 2009. 2009. p. 32-36 5341915.

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

Muda, AK, Shamsuddin, SM & Darus, M 2009, Mining generalized features for writer identification. in 2009 2nd Conference on Data Mining and Optimization, DMO 2009., 5341915, pp. 32-36, 2009 2nd Conference on Data Mining and Optimization, DMO 2009, Bangi, Selangor, 27/10/09. https://doi.org/10.1109/DMO.2009.5341915
Muda AK, Shamsuddin SM, Darus M. Mining generalized features for writer identification. In 2009 2nd Conference on Data Mining and Optimization, DMO 2009. 2009. p. 32-36. 5341915 https://doi.org/10.1109/DMO.2009.5341915
Muda, Azah Kamilah ; Shamsuddin, Siti Mariyam ; Darus, Maslina. / Mining generalized features for writer identification. 2009 2nd Conference on Data Mining and Optimization, DMO 2009. 2009. pp. 32-36
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