DOI : https://doi.org/10.18517/ijaseit.1.2.33

Generating an Arabic Calligraphy Text Blocks for Global Texture Analysis

Bilal Bataineh (1), Siti Norul Huda Sheikh Abdullah (2), Khairuddin Omar (3)
(1) Centre for Artificial Intelligence Technology, Faculty of Information Science and Technology Universiti Kebangsaan Malaysia
(2) Centre for Artificial Intelligence Technology, Faculty of Information Science and Technology Universiti Kebangsaan Malaysia
(3) Centre for Artificial Intelligence Technology, Faculty of Information Science and Technology Universiti Kebangsaan Malaysia
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How to cite (IJASEIT) :
Bataineh, Bilal, et al. “Generating an Arabic Calligraphy Text Blocks for Global Texture Analysis”. International Journal on Advanced Science, Engineering and Information Technology, vol. 1, no. 2, Apr. 2011, pp. 150-5, doi:10.18517/ijaseit.1.2.33.
Citation Format :
This paper objective is to improve the current method for generating an Arabic Calligraphy text blocks. We test on seven types of Arabic Calligraphy text. We apply  projection profiles and a proposed filter to discriminate each line of the Arabic Calligraphy scripts. After performing text detection, skew correction, text and line normalization subsequently, we generate Arabic Calligraphy text blocks for global texture analysis purposes. We compare our proposed filter with current method and median filter. The results show that the proposed filter  is outperformed. The proposed method can be further  improved to boost the overall performance.
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