Fingerprinting of deformed paper images acquired by scanners

Shihab Hamad Khaleefah, Mohammad Faidzul Nasrudin, Salama A. Mostafa

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

6 Citations (Scopus)

Abstract

Images texture extraction is a core step in image pattern recognition applications such as paper texture identification or fingerprinting. Different methods are applied for paper images texture extraction. Subsequently, one of the well-known methods in images texture extraction is the Locale Binary Pattern (LBP) method. However, the LBP method show a number of drawbacks in paper images texture extraction and two of which are neglecting some texture information of the images and incompetent to some images deformation due to its local view. In this paper, combinations of Gabor filters and a LBP operator are proposed to reduce the effects of the mentioned drawbacks in papers fingerprinting domain. We use self-collected textures from 102 paper images in the test. Consequently, the testing results of the proposed combinations improve paper images identification rate by 28.45% when the Gabor filters have a scale of 9 and an orientation of π/2 degree. This paper finds that applying Gabor filters prior to LBP method improve the LBP description and the papers fingerprinting accuracy.

Original languageEnglish
Title of host publication2015 IEEE Student Conference on Research and Development, SCOReD 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages393-397
Number of pages5
ISBN (Print)9781467395724
DOIs
Publication statusPublished - 7 Apr 2016
EventIEEE Student Conference on Research and Development, SCOReD 2015 - Kuala Lumpur, Malaysia
Duration: 13 Dec 201514 Dec 2015

Other

OtherIEEE Student Conference on Research and Development, SCOReD 2015
CountryMalaysia
CityKuala Lumpur
Period13/12/1514/12/15

Fingerprint

Image texture
Gabor filters
Textures
Pattern recognition
Testing

Keywords

  • Chi-square
  • Gabor Filters
  • Local Binary Pattern (LBP)
  • Paper fingerprinting
  • Pattern recognition

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology
  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Khaleefah, S. H., Nasrudin, M. F., & Mostafa, S. A. (2016). Fingerprinting of deformed paper images acquired by scanners. In 2015 IEEE Student Conference on Research and Development, SCOReD 2015 (pp. 393-397). [7449363] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCORED.2015.7449363

Fingerprinting of deformed paper images acquired by scanners. / Khaleefah, Shihab Hamad; Nasrudin, Mohammad Faidzul; Mostafa, Salama A.

2015 IEEE Student Conference on Research and Development, SCOReD 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 393-397 7449363.

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

Khaleefah, SH, Nasrudin, MF & Mostafa, SA 2016, Fingerprinting of deformed paper images acquired by scanners. in 2015 IEEE Student Conference on Research and Development, SCOReD 2015., 7449363, Institute of Electrical and Electronics Engineers Inc., pp. 393-397, IEEE Student Conference on Research and Development, SCOReD 2015, Kuala Lumpur, Malaysia, 13/12/15. https://doi.org/10.1109/SCORED.2015.7449363
Khaleefah SH, Nasrudin MF, Mostafa SA. Fingerprinting of deformed paper images acquired by scanners. In 2015 IEEE Student Conference on Research and Development, SCOReD 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 393-397. 7449363 https://doi.org/10.1109/SCORED.2015.7449363
Khaleefah, Shihab Hamad ; Nasrudin, Mohammad Faidzul ; Mostafa, Salama A. / Fingerprinting of deformed paper images acquired by scanners. 2015 IEEE Student Conference on Research and Development, SCOReD 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 393-397
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