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ICDAR
2009
IEEE
13 years 11 months ago
Recognition of Degraded Handwritten Characters Using Local Features
The main problems of Optical Character Recognition (OCR) systems are solved if printed latin text is considered. Since OCR systems are based upon binary images, their results are ...
Markus Diem, Robert Sablatnig
ICPR
2002
IEEE
14 years 6 months ago
Category-Dependent Feature Extraction for Recognition of Degraded Handwritten Characters
Conventional methods for recognizing multiple fonts and handwriting are generally robust against deformation but are weak against degradation. This paper proposes a category-depen...
Minoru Mori, Minako Sawaki, Norihiro Hagita
ICPR
2008
IEEE
14 years 6 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
ICDAR
2009
IEEE
13 years 11 months ago
Character-SIFT: A Novel Feature for Offline Handwritten Chinese Character Recognition
SIFT descriptor has been widely applied in computer vision and object recognition, but has not been explored in the field of handwritten Chinese character recognition. In this pap...
Zhiyi Zhang, Lianwen Jin, Kai Ding, Xue Gao
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