The Segmentation of Printed Arabic Characters Based on Interest Point


  • Fitriyatul Qomariyah Faculty of Computer Science, Brawijaya University, Indonesia
  • Fitri Utaminingrum Faculty of Computer Science, Brawijaya University, Indonesia
  • Wayan Firdaus Mahmudy Faculty of Computer Science, Brawijaya University, Indonesia


Image Segmentation, Connected Arabic Characters Segmentation, Interest Point,


Arabic characters are different compared to the other characters whether from their forms or the way they are read. Before conducting a recognition process, we should conduct segmentation or divide each character to identify each Arabic character of the word. The enormous problem of segmenting the connected Arabic characters is dividing each character with different positions, forms, and sizes for each character. Therefore, we suggested a method in segmentation process by using the interesting point, which successfully obtains the 86.5% average accuracy.


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How to Cite

Qomariyah, F., Utaminingrum, F., & Mahmudy, W. F. (2017). The Segmentation of Printed Arabic Characters Based on Interest Point. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(2-8), 19–24. Retrieved from

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