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» Part-Based Recognition of Handwritten Characters
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DAS
2006
Springer
14 years 1 months ago
Combining Multiple Classifiers for Faster Optical Character Recognition
Traditional approaches to combining classifiers attempt to improve classification accuracy at the cost of increased processing. They may be viewed as providing an accuracy-speed tr...
Kumar Chellapilla, Michael Shilman, Patrice Simard
PRL
2008
137views more  PRL 2008»
13 years 9 months ago
On-line handwritten digit recognition based on trajectory and velocity modeling
The handwriting is one of the most familiar communication media. Pen based interface combined with automatic handwriting recognition offers a very easy and natural input method. T...
Monji Kherallah, Lobna Haddad, Adel M. Alimi, Amar...
ICDAR
2009
IEEE
13 years 7 months ago
Stochastic Segment Modeling for Offline Handwriting Recognition
In this paper, we present a novel approach for incorporating structural information into the hidden Markov Modeling (HMM) framework for offline handwriting recognition. Traditiona...
Premkumar Natarajan, Krishna Subramanian, Anurag B...
PRL
2002
213views more  PRL 2002»
13 years 9 months ago
Character preclassification based on genetic programming
This paper presents a learning system that uses genetic programming as a tool for automatically inferring the set of classification rules to be used during a preclassification sta...
Claudio De Stefano, Antonio Della Cioppa, Angelo M...
IWVF
2001
Springer
14 years 2 months ago
Grouping Character Shapes by Means of Genetic Programming
In the framework of an evolutionary approach to machine learning, this paper presents the preliminary version of a learning system that uses Genetic Programming as a tool for autom...
Claudio De Stefano, Antonio Della Cioppa, Angelo M...