Text Line Segmentation for Mushaf Al-Quran Using Hybrid Projection Based Neighbouring Properties

Authors

  • A. R. Radzid Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Malaysia.
  • M. S. Azmi Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Malaysia.
  • I. E. A. Jalil Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Malaysia.
  • N. A. Arbain Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Malaysia.
  • A. K. Draman @ Muda Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Malaysia.
  • A. Tahir Department of Information & Communication Technology, Politeknik Ungku Omar, Jalan Raja Musa Mahadi, 31400 Ipoh, Perak, Malaysia.

Keywords:

Image Segmentation, Mushaf Al-Quran Documents, Text Line Segmentation,

Abstract

Text line segmentation is an important step in document image processing. Its part of the pre-processing stage to prepared the images before throughout either feature extraction or classification images. In this paper, we present a method of line segmentation for Mushaf Al-Quran text using a hybrid projection based neighbouring properties. This is based on the pixel, object and histogram properties. This method will identify overlaps between neighbouring text lines and segment each line with precision. Overlap caused by interfering with diacritical marks or stroke of the Arabic word must be properly segmented without change the original meaning of the text. Experimental results show the validity of our method.

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Published

2018-07-04

How to Cite

Radzid, A. R., Azmi, M. S., Jalil, I. E. A., Arbain, N. A., Draman @ Muda, A. K., & Tahir, A. (2018). Text Line Segmentation for Mushaf Al-Quran Using Hybrid Projection Based Neighbouring Properties. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(2-7), 53–57. Retrieved from https://jtec.utem.edu.my/jtec/article/view/4419

Issue

Vol. 10 No. 2-7: Embracing The 4th Industrial Revolution: Innovation in Telecommunication, Electronic & Computer Engineering III

Section

Articles

License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)