Sciweavers

ICFHR
2010
140views Biometrics» more  ICFHR 2010»
12 years 11 months ago
Part-Based Recognition of Handwritten Characters
In the part-based recognition method proposed in this paper, a handwritten character image is represented by just a set of local parts. Then, each local part of the input pattern ...
Seiichi Uchida, Marcus Liwicki
AAAI
2010
13 years 4 months ago
Computing Cost-Optimal Definitely Discriminating Tests
The goal of testing is to discriminate between multiple hypotheses about a system--for example, different fault diagnoses--by applying input patterns and verifying or falsifying t...
Anika Schumann, Jinbo Huang, Martin Sachenbacher
NLPRS
2001
Springer
13 years 9 months ago
Migemo: Incremental Search Method for Languages with Many Character Faces
We introduce a new incremental search method called Migemo for languages with many character faces. Migemo performs the incremental search by dynamically expanding the input patte...
Satoru Takabayashi, Hiroyuki Komatsu, Toshiyuki Ma...
ICDAR
2003
IEEE
13 years 9 months ago
Accelerating Large Character Set Recognition using Pivots
This paper proposes a method to accelerate character recognition of a large character set by employing pivots into the search space. We divide the feature space of character categ...
Yiping Yang, Ondrej Velek, Masaki Nakagawa
ICDAR
2003
IEEE
13 years 9 months ago
Video text recognition using feature compensation as category-dependent feature extraction
When recognizing multiple fonts, geometric features, such as the directional information of strokes, are generally robust against deformation but are weak against degradation. Thi...
Minoru Mori
IJCNN
2006
IEEE
13 years 10 months ago
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...
ICPR
2002
IEEE
14 years 5 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