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Arabic fonts representation using Sine Cosine Algorithm

机译:使用正弦余弦算法的阿拉伯语字体表示

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This paper presented the capability of Sine Cosine Algorithm (SCA) in handling curve representation problems. SCA is used to capture the outlines of Arabic fonts by using cubic Bezier curve. There are several pre-processing steps involved before the curve fitting process, which include boundary extraction, corner detection and chord length parameterization. SCA is then used to optimize the middle points of the cubic Bezier curve. The final results will be visually and numerically presented. The numerical errors are found by calculating sum square errors (SSE). SSE will be the objective function for this optimization problem. SCA will search for the best middle control points by minimizing SSE. SSE is calculated by comparing the reconstructed curve with the original curve. The proposed method is then compared with the least square method (LSM). The results have shown that SCA is better than LSM.
机译:本文介绍了正弦余弦算法(SCA)处理曲线表示问题的能力。 SCA用于通过使用立方Bezier曲线来捕获阿拉伯字体的轮廓。在曲线拟合过程之前有几个预处理步骤,包括边界提取,角度检测和弦长参数化。然后使用SCA来优化立方贝尔曲线的中间点。最终结果将在视觉上和数值上呈现。通过计算总和方形错误(SSE)找到数值误差。 SSE将是这种优化问题的目标函数。 SCA将通过最小化SSE来搜索最佳的中间控制点。通过将重建的曲线与原始曲线进行比较来计算SSE。然后将所提出的方法与最小二乘法(LSM)进行比较。结果表明,SCA优于LSM。

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