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ICPR
2004
IEEE
14 years 5 months ago
Principal Component Analysis for Online Handwritten Character Recognition
In this paper, Principal Component Analysis (PCA) is applied to the problem of Online Handwritten Character Recognition in the Tamil script. The input is a temporally ordered sequ...
A. G. Ramakrishnan, Sriganesh Madhvanath, V. Deepu
ICDAR
2009
IEEE
13 years 2 months ago
A Novel Approach for Rotation Free Online Handwritten Chinese Character Recognition
This paper presents a method for rotation free online handwritten Chinese character recognition (RFOHCCR). Given a skew online handwritten character sample, two orientation correc...
Shengming Huang, Lianwen Jin, Jin Lv
ICDAR
2009
IEEE
13 years 2 months ago
CASIA-OLHWDB1: A Database of Online Handwritten Chinese Characters
This paper describes a publicly available database, CASIA-OLHWDB1, for research on online handwritten Chinese character recognition. This database is the first of our series of on...
Da-Han Wang, Cheng-Lin Liu, Jin-Lun Yu, Xiang-Dong...
ICDAR
2003
IEEE
13 years 9 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
13 years 9 months ago
Using Eigen-Deformations in Handwritten Character Recognition
Deformations in handwritten characters have classdependent tendencies. For example, characters of class “A” are often deformed by global slant transformation and never deforme...
Seiichi Uchida, Mohammad Asad Ronee, Hiroaki Sakoe