Arabic-Jawi Scripts Font Recognition Using First-Order Edge Direction Matrix

Bilal Bataineh, Siti Norul Huda Sheikh Abdullah, Khairuddin Omar, Anas Batayneh

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

Abstract

Document image analysis and recognition (DIAR) techniques are a primary application of pattern recognition. OFR is one of the most important DIAR techniques. The information about font type indicates important information to support human knowledge and other document analysis and recognition techniques. In this paper, a new optical font recognition method for Arabic scripts is proposed based on the First order edge direction matrix, which is an effected simple feature extraction method for binary images. The proposed methods based on several recent methods in pre-processing and feature extraction stages. The performance of the proposed method is compared with the previous OFR methods that based on texture analysis methods in the feature extraction stage. The results show that the proposed method presents the best performance than of other methods in terms of computation time and accuracy.

Original languageEnglish
Title of host publicationCommunications in Computer and Information Science
PublisherSpringer Verlag
Pages27-38
Number of pages12
Volume378 CCIS
ISBN (Print)9783642405662
DOIs
Publication statusPublished - 2013
Event2nd International Multi-Conference on Artificial Intelligence Technology, M-CAIT 2013 - Shah Alam
Duration: 28 Aug 201329 Aug 2013

Publication series

NameCommunications in Computer and Information Science
Volume378 CCIS
ISSN (Print)18650929

Other

Other2nd International Multi-Conference on Artificial Intelligence Technology, M-CAIT 2013
CityShah Alam
Period28/8/1329/8/13

Fingerprint

Feature extraction
Image recognition
Image analysis
Binary images
Pattern recognition
Textures
Processing

Keywords

  • Arabic scripts
  • documents
  • EDMS
  • feature extraction
  • font recognition
  • Gabor
  • GLCM
  • LBP

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Bataineh, B., Sheikh Abdullah, S. N. H., Omar, K., & Batayneh, A. (2013). Arabic-Jawi Scripts Font Recognition Using First-Order Edge Direction Matrix. In Communications in Computer and Information Science (Vol. 378 CCIS, pp. 27-38). (Communications in Computer and Information Science; Vol. 378 CCIS). Springer Verlag. https://doi.org/10.1007/978-3-642-40567-9_3

Arabic-Jawi Scripts Font Recognition Using First-Order Edge Direction Matrix. / Bataineh, Bilal; Sheikh Abdullah, Siti Norul Huda; Omar, Khairuddin; Batayneh, Anas.

Communications in Computer and Information Science. Vol. 378 CCIS Springer Verlag, 2013. p. 27-38 (Communications in Computer and Information Science; Vol. 378 CCIS).

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

Bataineh, B, Sheikh Abdullah, SNH, Omar, K & Batayneh, A 2013, Arabic-Jawi Scripts Font Recognition Using First-Order Edge Direction Matrix. in Communications in Computer and Information Science. vol. 378 CCIS, Communications in Computer and Information Science, vol. 378 CCIS, Springer Verlag, pp. 27-38, 2nd International Multi-Conference on Artificial Intelligence Technology, M-CAIT 2013, Shah Alam, 28/8/13. https://doi.org/10.1007/978-3-642-40567-9_3
Bataineh B, Sheikh Abdullah SNH, Omar K, Batayneh A. Arabic-Jawi Scripts Font Recognition Using First-Order Edge Direction Matrix. In Communications in Computer and Information Science. Vol. 378 CCIS. Springer Verlag. 2013. p. 27-38. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-642-40567-9_3
Bataineh, Bilal ; Sheikh Abdullah, Siti Norul Huda ; Omar, Khairuddin ; Batayneh, Anas. / Arabic-Jawi Scripts Font Recognition Using First-Order Edge Direction Matrix. Communications in Computer and Information Science. Vol. 378 CCIS Springer Verlag, 2013. pp. 27-38 (Communications in Computer and Information Science).
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