Visualizing Results of Digital Ink Stroke Matching in Chinese Based on Multi-Perceived Hierarchy

Abstract

Stroke matching is the mainstream method for evaluating the quality of Chinese characters. Visualization of matched strokes is necessary to evaluate the validity of the matching method and the prerequisite for manual correction. To reduce the cognitive burden, visualization based on multi-perceived hierarchy is proposed. According to the features of matched strokes and information contained, the approach proposes a multi-perceive hierarchy composed of colors, graphic symbols and number indexes. After experimental verification, the visualization is effective in operational complexity and efficiency.