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» Combining SVM Classifiers for Handwritten Digit Recognition
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ICDAR
2009
IEEE
13 years 3 months ago
Handling Out-of-Vocabulary Words and Recognition Errors Based on Word Linguistic Context for Handwritten Sentence Recognition
In this paper we investigate the use of linguistic information given by language models to deal with word recognition errors on handwritten sentences. We focus especially on error...
Solen Quiniou, Mohamed Cheriet, Éric Anquet...
ESANN
2006
13 years 6 months ago
Recognition of handwritten digits using sparse codes generated by local feature extraction methods
We investigate when sparse coding of sensory inputs can improve performance in a classification task. For this purpose, we use a standard data set, the MNIST database of handwritte...
Rebecca Steinert, Martin Rehn, Anders Lansner
SSPR
2004
Springer
13 years 10 months ago
Recognition of Handwritten Numerals Using a Combined Classifier with Hybrid Features
Off-line handwritten numeral recognition is a very difficult task. It is hard to achieve high recognition results using a single set of features and a single classifier, since hand...
Kyoung Min Kim, Joong Jo Park, Young Gi Song, In-C...
PRL
2008
137views more  PRL 2008»
13 years 4 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...
DRR
2009
13 years 3 months ago
Combination of dynamic Bayesian network classifiers for the recognition of degraded characters
We investigate in this paper the combination of DBN (Dynamic Bayesian Network) classifiers, either independent or coupled, for the recognition of degraded characters. The independ...
Laurence Likforman-Sulem, Marc Sigelle