دورية
Arabic Fonts Representation in Cubic Bézier Curve using Different Soft Computing Algorithm
| العنوان: | Arabic Fonts Representation in Cubic Bézier Curve using Different Soft Computing Algorithm |
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| المؤلفون: | C, N F I, Yahya, Z R, Rusdi, N A, Helmee, N A, W, W Z A |
| المصدر: | IOP Conference Series: Materials Science and Engineering; November 2019, Vol. 705 Issue: 1 p012026-012026, 1p |
| مستخلص: | This study presents the comparison between two meta-heuristic algorithms for curve reconstruction of Arabic fonts. The two algorithms namely Sine Cosine Algorithm (SCA) and Whale Optimization Algorithm (WOA) are used for comparison purposes. These algorithms have been applied to optimize the solution of curve fitting problem by using cubic Bezier curve. There are several pre-processing steps involve before curve fitting process has been done. Firstly, extract the boundary. Then, detect the corner of outline fonts and the third step is chord length parameterization. The aim of this study is to find the best curve that fit the data. Sum Square Errors (SSE) has been used to calculate the error given by original image and parametric curve. The finding of this study shows that, WOA gives better curve approximation based on the errors result than SCA. This algorithm significantly improves the shape of the corner of the outline Arabic fonts. |
| قاعدة البيانات: | Supplemental Index |
Full Text Finder | تدمد: | 17578981 1757899X |
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