Zinnia is a simple, customizable and portable online hand recognition system based on Support Vector Machines. Zinnia simply receives user pen strokes as a sequence of coordinate data and outputs n-best characters sorted by SVM confidence. To keep portability, Zinnia doesn't have any rendering functionality. In addition to recognition, Zinnia provides training module that allows us to create any hand-written recognition systems with low-cost.

This package provide a data model for Zinnia. With this model, Zinnia can recognize Traditional Chinese character.

This data model is derived from tomoe project: http://tomoe.sourceforge.jp