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» Character Recognition by Adaptive Statistical Similarity
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ICDAR
2003
IEEE
13 years 10 months ago
Character Recognition by Adaptive Statistical Similarity
Handwriting recognition and OCR systems need to cope with a wide variety of writing styles and fonts, many of them possibly not previously encountered during training. This paper d...
Thomas M. Breuel
ACL
1998
13 years 6 months ago
Japanese OCR Error Correction using Character Shape Similarity and Statistical Language Model
We present a novel OCR error correction method for languages without word delimiters that have a large character set, such as Japanese and Chinese. It consists of a statistical OC...
Masaaki Nagata
ICDAR
2009
IEEE
13 years 11 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...
ICDAR
2011
IEEE
12 years 4 months ago
A Novel Italic Detection and Rectification Method for Chinese Advertising Images
—The italic detection and slant rectification is a key step of optical character recognition (OCR). In this paper, a novel method is proposed to detect and rectify italic charact...
Jie Liu, Heping Li, Shuwu Zhang, Wei Liang
ICDAR
2009
IEEE
13 years 11 months ago
A Framework for Adaptation of the Active-DTW Classifier for Online Handwritten Character Recognition
: © A Framework for Adaptation of the Active-DTW Classifier for Online Handwritten Character Recognition Vandana Roy, Sriganesh Madhvanath, Anand S., Raghunath R. Sharma HP Labora...
Vandana Roy, Sriganesh Madhvanath, Anand S., Ragun...