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ICDAR
2005
IEEE
13 years 10 months ago
An Approach to Identify Unique Styles in Online Handwriting Recognition
We describe a method for identifying different writing styles of online handwritten characters based on clustering. The motivation of this experiment is to develop automatic chara...
A. Bharath, V. Deepu, Sriganesh Madhvanath
IEEECGIV
2009
IEEE
13 years 11 months ago
Online Handwriting Thai Character Recognition
This research is a study of structure and method in handwriting Thai characters for conversion and computer use. This paper covers the creation of an online handwriting recognitio...
Credit Karnchanapusakij, Phattharasuda Suwannakat,...
ICDAR
2005
IEEE
13 years 10 months ago
Hybrid Recognition for One Stroke Style Cursive Handwriting Characters
On-line handwriting recognition has continued to persist as a popular research field while pen computing applications are widely used in recent years. This paper proposes a novel ...
Teng Long, Lianwen Jin
ICDAR
2003
IEEE
13 years 9 months ago
A Neural-Evolutionary Approach for Feature and Architecture Selection in Online Handwriting Recognition
An automatic recognition of online handwritten text has been an on-going research problem for nearly four decades. It has been gaining more interest due to the increasing populari...
Brijesh Verma, Moumita Ghosh
ICDAR
2007
IEEE
13 years 11 months ago
Minimum Error Discriminative Training for Radical-Based Online Chinese Handwriting Recognition
Free style Chinese handwriting recognition continues to pose a challenge to researchers due to the variety of Chinese writing styles. To recognize handwritten characters in an onl...
Y. Zhang, P. Liu, F. Soong