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ICDAR
2011
IEEE
12 years 7 months ago
On-line Handwritten Japanese Characters Recognition Using a MRF Model with Parameter Optimization by CRF
— This paper describes a Markov random field (MRF) model with weighting parameters optimized by conditional random field (CRF) for on-line recognition of handwritten Japanese cha...
Bilan Zhu, Masaki Nakagawa
ICDAR
2011
IEEE
12 years 7 months ago
Trie-Lexicon-Driven Recognition for On-line Handwritten Japanese Disease Names Using a Time-Synchronous Method
— This paper describes a lexicon-driven approach to on-line handwritten Japanese disease name recognition using a time-synchronous method. A trie lexicon is constructed from a di...
Bilan Zhu, Masaki Nakagawa
ICDAR
2009
IEEE
14 years 2 months ago
Fast Incremental Learning Strategy Driven by Confusion Reject for Online Handwriting Recognition
In this paper, we present a new incremental learning strategy for handwritten character recognition systems. This learning strategy enables the recognition system to learn “rapi...
Abdullah Almaksour, Éric Anquetil
ICDAR
2005
IEEE
14 years 1 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
ICDAR
2009
IEEE
14 years 2 months ago
Effect of Improved Path Evaluation for On-line Handwritten Japanese Text Recognition
This paper describes a method of on-line handwritten Japanese text recognition by improved path evaluation. Based on a theoretical ground, the method evaluates the likelihood of c...
Bilan Zhu, Xiang-Dong Zhou, Cheng-Lin Liu, Masaki ...