Ubuntu
tegaki-zinnia-traditional-chinese package

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

Changelog

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

Upload details

Uploaded by:
Ma Hsiao-chun
Sponsored by:
Daniel T Chen
Uploaded to:
Raring
Original maintainer:
Ubuntu Developers
Architectures:
all
Section:
utils
Urgency:
Low Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release universe utils
Noble release universe utils
Mantic release universe utils
Lunar release universe utils
Jammy release universe utils
Focal release universe utils
Bionic release universe utils
Xenial release universe utils
Trusty release universe utils

Builds

Raring: [FULLYBUILT] i386

Downloads

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

View changes file

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