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ICDAR
2003
IEEE
14 years 1 months ago
A Novel Feature Extraction Technique for the Recognition of Segmented Handwritten Characters
High accuracy character recognition techniques can provide useful information for segmentation-based handwritten word recognition systems. This research describes neural network-b...
Michael Blumenstein, Brijesh Verma, H. Basli
ICDAR
2005
IEEE
14 years 1 months ago
Isolated Character Recognition by Searching Feature Points
Conventional segmentation technique cannot extract difficult characters such as an isolated character and a touching character. In this paper, we propose a novel character recogn...
Masakazu Iwamura, Kazuya Negishi, Shinichiro Omach...
ICDAR
2009
IEEE
14 years 2 months ago
F-ratio Based Weighted Feature Extraction for Similar Shape Character Recognition
Recognition of handwritten similar shaped character is a difficult problem and in character recognition system most of the errors occur from similar shaped characters. In this pap...
Tetsushi Wakabayashi, Umapada Pal, Fumitaka Kimura...
ICPR
2010
IEEE
13 years 5 months ago
A Baseline Dependent Approach for Persian Handwritten Character Segmentation
-- 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...
Alireza Alaei, P. Nagabhushan, Umapada Pal
ICDAR
2009
IEEE
13 years 5 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