Object signature features selection for handwritten jawi recognition

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

1 Citation (Scopus)

Abstract

The trace transform allows one to construct an unlimited number of image features that are invariant to a chosen group of image transformations. Object signature that is in the form of string of numbers is one kind of the transform features. In this paper, we demonstrate a wrapper method along with several ranking evaluation measurements to select useful features for the recognition of handwritten Jawi images. We compare the result of the recognition with those obtained by using methods where features are randomly selected or no feature selection at all. The proposed methods seem to be most promising.

Original languageEnglish
Title of host publicationAdvances in Intelligent and Soft Computing
Pages689-698
Number of pages10
Volume79
DOIs
Publication statusPublished - 2010

Publication series

NameAdvances in Intelligent and Soft Computing
Volume79
ISSN (Print)18675662

Fingerprint

Feature extraction

Keywords

  • feature selection
  • handwritten Jawi recognition
  • object signature
  • trace transform

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Nasrudin, M. F., Omar, K., Liong, C. Y., & Zakaria, M. S. (2010). Object signature features selection for handwritten jawi recognition. In Advances in Intelligent and Soft Computing (Vol. 79, pp. 689-698). (Advances in Intelligent and Soft Computing; Vol. 79). https://doi.org/10.1007/978-3-642-14883-5_88

Object signature features selection for handwritten jawi recognition. / Nasrudin, Mohammad Faidzul; Omar, Khairuddin; Liong, Choong Yeun; Zakaria, Mohamad Shanudin.

Advances in Intelligent and Soft Computing. Vol. 79 2010. p. 689-698 (Advances in Intelligent and Soft Computing; Vol. 79).

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

Nasrudin, MF, Omar, K, Liong, CY & Zakaria, MS 2010, Object signature features selection for handwritten jawi recognition. in Advances in Intelligent and Soft Computing. vol. 79, Advances in Intelligent and Soft Computing, vol. 79, pp. 689-698. https://doi.org/10.1007/978-3-642-14883-5_88
Nasrudin MF, Omar K, Liong CY, Zakaria MS. Object signature features selection for handwritten jawi recognition. In Advances in Intelligent and Soft Computing. Vol. 79. 2010. p. 689-698. (Advances in Intelligent and Soft Computing). https://doi.org/10.1007/978-3-642-14883-5_88
Nasrudin, Mohammad Faidzul ; Omar, Khairuddin ; Liong, Choong Yeun ; Zakaria, Mohamad Shanudin. / Object signature features selection for handwritten jawi recognition. Advances in Intelligent and Soft Computing. Vol. 79 2010. pp. 689-698 (Advances in Intelligent and Soft Computing).
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