General Shape Features Allow for Categorization of Written Symbols Across Font Variation

Moderate to robust categorization accuracy was accomplished using deep convolutional neural networks trained to do object categorization, as well as in simpler models like Gist and Normalized Contour Curvature, and these models showed moderate correlations to human classification behavior.