tegaki-zinnia-traditional-chinese 0.3-0ubuntu1 source package in Ubuntu


tegaki-zinnia-traditional-chinese (0.3-0ubuntu1) raring; urgency=low

  * Initial release (LP: #1069292)
 -- Ma Xiaojun <email address hidden>   Sun, 21 Oct 2012 20:33:26 -0500

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Uploaded by:
Ma Hsiao-chun on 2013-03-22
Sponsored by:
Daniel T Chen
Uploaded to:
Original maintainer:
Ubuntu Developers
Low Urgency

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Impish release on 2021-04-23 universe utils
Hirsute release on 2020-10-23 universe utils
Groovy release on 2020-04-24 universe utils
Focal release on 2019-10-18 universe utils
Bionic release on 2017-10-24 universe utils
Xenial release on 2015-10-22 universe utils
Trusty release on 2013-10-18 universe utils


Raring: [FULLYBUILT] i386


File Size SHA-256 Checksum
tegaki-zinnia-traditional-chinese_0.3.orig.tar.gz 34.9 MiB 92f58ad9c278c58630201007cbbd8ab03124dbdf77339b16e7557a431c18e957
tegaki-zinnia-traditional-chinese_0.3-0ubuntu1.debian.tar.gz 2.4 KiB c9169f2cf0f506b55e74258bb25f09bf47fd0b7b6db8ae8016a2b7e3c8ca1ba0
tegaki-zinnia-traditional-chinese_0.3-0ubuntu1.dsc 1.6 KiB b5e7321a79edb03c0521bfe60c82c7864962bc0a70257562d848f5a518eaf649

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Binary packages built by this source

tegaki-zinnia-traditional-chinese: Traditional 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 Traditional Chinese character.
 This data model is derived from tomoe project: http://tomoe.sourceforge.jp