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

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International Journal of Advanced Network, Monitoring and Controls

Xi'an Technological University

Subject: Computer Science, Software Engineering

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eISSN: 2470-8038

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VOLUME 2 , ISSUE 3 (September 2017) > List of articles

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

Hao Bai / Xiwen Zhang

Keywords : Correction, Visualization, Digital ink, Stroke extraction, Chinese character

Citation Information : International Journal of Advanced Network, Monitoring and Controls. Volume 2, Issue 3, Pages 84-88, DOI: https://doi.org/10.1109/iccnea.2017.33

License : (CC BY-NC-ND 4.0)

Published Online: 11-April-2018

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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.

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