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Simplified Chinese handwriting model for Zinnia

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 Simplified Chinese character.

This data model is derived from tomoe project:

Package version:0.3-1



In Windows:

Copy the .meta and .model files to 
C:\Program Files\tegaki-recognize\models\zinnia\

In Mac OS X:

Copy the .meta and .model files to 
/Library/Application Support/tegaki/models/zinnia/


Run "make install".

Build model from source

This archive contains a pre-built model but if you like, you can
rebuild th


tegaki-zinnia-simplified-chinese (0.3-1) unstable; urgency=low

  * new upstream release.
  * debian/watch: updated. 
  * debian/control: 
    - bump standards version to 3.8.3. 
    - no longer build depends on python
  * debian/docs: updated.
  * debian/rules: only need copy file.
  * debian/copyright: change license to LGPL 2.1. 

 -- LI Daobing <>  Tue, 03 Nov 2009 22:43:10


This package was debianized by LI Daobing <> on
Sat, 14 Feb 2009 17:15:55 +0800.

It was downloaded from

Upstream Author:

    Mathieu Blondel <mathieu ÂT mblondel DÔT org>


    Copyright (C) 2009 Mathieu Blondel


    This library is free software; you can redistribute it and/or
    modify it under the terms of the GNU Less

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