<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The correcting process for strokes extracted from Chinese characters is the necessary step to extract the errors of writing errors automatically. Visualization of extracted strokes is the prerequisite for manual correction. Therefore, visualization and adaptive correction methods are proposed. To reduce the cognitive burden of correcting, color, brightness, saturation and order number is comprehensively used to visualize extracted strokes. And tag list is applied for correcting different types of extracted strokes, which provides the training set for error extraction classifier in future work. After experimental verification, the method is effective in operational complexity and efficiency.</p>
</abstract>

The correcting process for strokes extracted from Chinese characters is the necessary step to extract the errors of writing errors automatically. Visualization of extracted strokes is the prerequisite for manual correction. Therefore, visualization and adaptive correction methods are proposed. To reduce the cognitive burden of correcting, color, brightness, saturation and order number is comprehensively used to visualize extracted strokes. And tag list is applied for correcting different types of extracted strokes, which provides the training set for error extraction classifier in future work. After experimental verification, the method is effective in operational complexity and efficiency.

Adaptive Correcting Strokes Extracted From Chinese Characters in Digital Ink of Non-Native Writers Based on Comprehensive Visualization

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The correcting process for strokes extracted from Chinese characters is the necessary step to extract the errors of writing errors automatically. Visualization...

Adaptive Correcting Strokes Extracted From Chinese Characters in Digital Ink of Non-Native Writers Based on Comprehensive Visualization

Publié en ligne: 11 avr. 2018

Pages: 84 - 88

DOI: https://doi.org/10.21307/ijanmc-2017-033

Mots clés
Correction, Visualization, Digital ink, Stroke extraction, Chinese character

© 2017 Hao Bai et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Adaptive Correcting Strokes Extracted From Chinese Characters in Digital Ink of Non-Native Writers Based on Comprehensive Visualization

Publié en ligne: 11 avr. 2018

Pages: 84 - 88

DOI: https://doi.org/10.21307/ijanmc-2017-033

Mots clésCorrection, Visualization, Digital ink, Stroke extraction, Chinese character

© 2017 Hao Bai et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Mots clés
Correction, Visualization, Digital ink, Stroke extraction, Chinese character