36 search results - page 1 / 8 » Category-Dependent Feature Extraction for Recognition of Deg... |
ICPR
2002
IEEE
14 years 5 months ago
2002
IEEE
Conventional methods for recognizing multiple fonts and handwriting are generally robust against deformation but are weak against degradation. This paper proposes a category-depen...
ICDAR
2009
IEEE
13 years 11 months ago
2009
IEEE
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 ...
ICDAR
2003
IEEE
13 years 10 months ago
2003
IEEE
High accuracy character recognition techniques can provide useful information for segmentation-based handwritten word recognition systems. This research describes neural network-b...
ICDAR
2011
IEEE
12 years 4 months ago
2011
IEEE
—LDA transformation is one of the popular feature dimension reduction techniques for the feature extraction in most handwritten Chinese characters recognition systems. The integr...
ICPR
2010
IEEE
13 years 2 months ago
2010
IEEE
-- In this paper, an efficient approach to segment Persian off-line handwritten text-line into characters is presented. The proposed algorithm first traces the baseline of the inpu...