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» Online stroke modeling for handwriting recognition
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ICDAR
2009
IEEE
14 years 7 months ago
Rearrangement of Recognized Strokes in Online Handwritten Gurmukhi Words Recognition
This paper presents a system to recognize online handwritten Gurmukhi words. We have proposed a new step as rearrangement of recognized strokes in online handwriting recognition p...
Anuj Sharma, Rajesh Kumar, R. K. Sharma
ICPR
2010
IEEE
15 years 2 months ago
Unsupervised Learning of Stroke Tagger for Online Kanji Handwriting Recognition
—Traditionally, HMM-based approaches to online Kanji handwriting recognition have relied on a hand-made dictionary, mapping characters to primitives such as strokes or substrokes...
Mathieu Blondel, Kazuhiro Seki, Kuniaki Uehara
ICDAR
2003
IEEE
15 years 2 months ago
Bayesian Network Modeling of Hangul Characters for On-line Handwriting Recognition
In this paper, we propose a Bayesian network framework for explicitly modeling components and their relationships of Korean Hangul characters. A Hangul character is modeled with h...
Sung-Jung Cho, Jin Hyung Kim
ICPR
2002
IEEE
15 years 10 months ago
QuickStroke: An Incremental On-Line Chinese Handwriting Recognition System
This paper presents QuickStroke: a system for the incremental recognition of handwritten Chinese characters. Only a few strokes of an ideogram need to be entered in order for a ch...
Nada P. Matic, John C. Platt, Tony Wang
ICDAR
2005
IEEE
15 years 3 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