2019 14th International Conference on Computer Science &Amp; Education (ICCSE) 2019
DOI: 10.1109/iccse.2019.8845418
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The Techniques and Evaluation Method for Beautification of Handwriting Chinese Characters Based on Cubic Bézier Curve and Convolutional Neural Network

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Cited by 2 publications
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“…Furthermore, the result found that the proposed curve has better quality and higher similarity levels than the other image reconstruction methods (Rizal & Kim, 2015). Du, Liu, and Xun (2019) proposed a curve for beautifying Chinese characters and evaluating the beautification result. This study seeks to incorporate handwritten Chinese character beautifying with machine learning and makes a preliminary evaluation of handwritten Chinese characters by identifying handwritten Chinese characters with a high recognition rate, thereby overcoming the subjectivity of artificial evaluation.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…Furthermore, the result found that the proposed curve has better quality and higher similarity levels than the other image reconstruction methods (Rizal & Kim, 2015). Du, Liu, and Xun (2019) proposed a curve for beautifying Chinese characters and evaluating the beautification result. This study seeks to incorporate handwritten Chinese character beautifying with machine learning and makes a preliminary evaluation of handwritten Chinese characters by identifying handwritten Chinese characters with a high recognition rate, thereby overcoming the subjectivity of artificial evaluation.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Secondly, they used the properties of the cubic Bezier curve function, identify and eliminate the jitter in each stroke using an interpolation algorithm. Du et al (2019) used the cubic Bezier curve to define Chinese characters because these curves were accurate and continuity. It may define characters in a unique way without affecting the handwritten Chinese characters' original trajectory.…”
Section: Literature Reviewmentioning
confidence: 99%