Sciweavers

ICDAR
2011
IEEE
12 years 4 months ago
Comparative Study of Part-Based Handwritten Character Recognition Methods
—The purpose of this paper is to introduce three part-based methods for handwritten character recognition and then compare their performances experimentally. All of those methods...
Wang Song, Seiichi Uchida, Marcus Liwicki
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...
DRR
2004
13 years 7 months ago
Group discriminatory power of handwritten characters
Using handwritten characters we address two questions (i) what is the group identification performance of different alphabets (upper and lower case) and (ii) what are the best cha...
Catalin I. Tomai, Devika M. Kshirsagar, Sargur N. ...
ICDAR
2003
IEEE
13 years 9 months ago
Individuality of Handwritten Characters
Analysis of handwritten characters (allographs) plays an important role in forensic document examination. However, so far there lacks a comprehensive and quantitative study on ind...
Bin Zhang, Sargur N. Srihari, Sangjik Lee
ICDAR
2003
IEEE
13 years 9 months ago
Analysis of Handwriting Individuality Using Word Features
Analysis of allographs (characters) and allograph combinations (words) is the key for obtaining the discriminating elements of handwriting. While allographs usually inhabit in wor...
Bin Zhang, Sargur N. Srihari
ICDAR
2003
IEEE
13 years 9 months ago
Handwritten character recognition using elastic matching based on a class-dependent deformation model
For handwritten character recognition, a new elastic image matching (EM) technique based on a class-dependent deformation model is proposed. In the deformation model, any deformat...
Seiichi Uchida, Hiroaki Sakoe
ICPR
2008
IEEE
14 years 5 months ago
Handwritten Chinese character recognition using Local Discriminant Projection with Prior Information
In this paper, we propose a new method to model the manifold of handwritten Chinese characters using the local discriminant projection. We utilize a cascade framework that combine...
Honggang Zhang, Jie Yang, Jun Guo, Weihong Deng
ICIP
2008
IEEE
14 years 6 months ago
Local-spectrum-based distinction between handwritten and machine-printed characters
In this paper, we propose a method to distinguish between handwritten and machine-printed characters with no need to locate character or text-line positions. We transform a local ...
Jumpei Koyama, Akira Hirose, Masahiro Kato