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» An unconstrained handwriting recognition system
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ICDAR
2009
IEEE
14 years 5 months ago
Learning and Adaptation for Improving Handwritten Character Recognizers
Writer independent handwriting recognition systems are limited in their accuracy, primarily due the large variations in writing styles of most characters. Samples from a single ch...
Naveen Chandra Tewari, Anoop M. Namboodiri
FGR
1998
IEEE
131views Biometrics» more  FGR 1998»
14 years 3 months ago
Tracking and Segmenting People in Varying Lighting Conditions Using Colour
Colour cues were used to obtain robust detection and tracking of people in relatively unconstrained dynamic scenes. Gaussian mixture models were used to estimate probability densi...
Yogesh Raja, Stephen J. McKenna, Shaogang Gong
ICDAR
2011
IEEE
12 years 10 months ago
CROHME2011: Competition on Recognition of Online Handwritten Mathematical Expressions
— A competition on recognition of online handwritten mathematical expressions is organized. Recognition of mathematical expressions has been an attractive problem for the pattern...
Harold Mouchère, Christian Viard-Gaudin, Da...
ICDAR
2009
IEEE
13 years 8 months ago
CASIA-OLHWDB1: A Database of Online Handwritten Chinese Characters
This paper describes a publicly available database, CASIA-OLHWDB1, for research on online handwritten Chinese character recognition. This database is the first of our series of on...
Da-Han Wang, Cheng-Lin Liu, Jin-Lun Yu, Xiang-Dong...
ICDAR
2003
IEEE
14 years 4 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