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A New Thinning Algorithm for Arabic Script

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A New Thinning Algorithm for Arabic Script. / Teahan, William; Alghamdi, Mansoor.
In: International Journal of Computer Science and Information Security, Vol. 15, No. 1, 01.01.2017, p. 204-211.

Research output: Contribution to journal › Article › peer-review

HarvardHarvard

Teahan, W & Alghamdi, M 2017, 'A New Thinning Algorithm for Arabic Script', International Journal of Computer Science and Information Security, vol. 15, no. 1, pp. 204-211. <https://www.academia.edu/31720772/A_New_Thinning_Algorithm_for_Arabic_Script>

APA

Teahan, W., & Alghamdi, M. (2017). A New Thinning Algorithm for Arabic Script. International Journal of Computer Science and Information Security, 15(1), 204-211. https://www.academia.edu/31720772/A_New_Thinning_Algorithm_for_Arabic_Script

CBE

Teahan W, Alghamdi M. 2017. A New Thinning Algorithm for Arabic Script. International Journal of Computer Science and Information Security. 15(1):204-211.

MLA

Teahan, William and Mansoor Alghamdi. "A New Thinning Algorithm for Arabic Script". International Journal of Computer Science and Information Security. 2017, 15(1). 204-211.

VancouverVancouver

Teahan W, Alghamdi M. A New Thinning Algorithm for Arabic Script. International Journal of Computer Science and Information Security. 2017 Jan 1;15(1):204-211.

Author

Teahan, William ; Alghamdi, Mansoor. / A New Thinning Algorithm for Arabic Script. In: International Journal of Computer Science and Information Security. 2017 ; Vol. 15, No. 1. pp. 204-211.

RIS

TY - JOUR

T1 - A New Thinning Algorithm for Arabic Script

AU - Teahan, William

AU - Alghamdi, Mansoor

PY - 2017/1/1

Y1 - 2017/1/1

N2 - Thinning is one of the critical processes for different applications in image analysis, in particular for Optical Character Recognition (OCR) applications. The accuracy performance of OCR relies on the effectiveness of thinning algorithms. However, previously there has been little attention paid for proposing thinning algorithms for Arabic script. Also, there is a lack of quantitative performance measures of thinning techniques for Arabic script. Consequently, it is unclear which thinning algorithms are more appropriate for Arabic script. In this paper, a new thinning algorithm for Arabic script is proposed with several new performance metrics. An experiment is conducted to evaluate the proposed algorithm against two well established thinning algorithms with respect to the several proposed objective performance metrics. The experimental results show that the new algorithm has the best performance among the other two thinning algorithms.

AB - Thinning is one of the critical processes for different applications in image analysis, in particular for Optical Character Recognition (OCR) applications. The accuracy performance of OCR relies on the effectiveness of thinning algorithms. However, previously there has been little attention paid for proposing thinning algorithms for Arabic script. Also, there is a lack of quantitative performance measures of thinning techniques for Arabic script. Consequently, it is unclear which thinning algorithms are more appropriate for Arabic script. In this paper, a new thinning algorithm for Arabic script is proposed with several new performance metrics. An experiment is conducted to evaluate the proposed algorithm against two well established thinning algorithms with respect to the several proposed objective performance metrics. The experimental results show that the new algorithm has the best performance among the other two thinning algorithms.

M3 - Article

VL - 15

SP - 204

EP - 211

JO - International Journal of Computer Science and Information Security

JF - International Journal of Computer Science and Information Security

SN - 1947-5500

IS - 1

ER -