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» Online stroke modeling for handwriting recognition
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AUSAI
2003
Springer
13 years 12 months ago
Reduction of Non Deterministic Automata for Hidden Markov Model Based Pattern Recognition Applications
Most on-line cursive handwriting recognition systems use a lexical constraint to help improve the recognition performance. Traditionally, the vocabulary lexicon is stored in a trie...
Frédéric Maire, Frank Wathne, Alain ...
ICPR
2008
IEEE
14 years 8 months ago
Hybrid statistical-structural on-line Chinese character recognition with fuzzy inference system
In this paper, we propose an original hybrid statistical-structural method for on-line Chinese character recognition. We model characters thanks to fuzzy inference rules combining...
Éric Anquetil, Adrien Delaye, Sébast...
ICVGIP
2004
13 years 8 months ago
Cursive Word Recognition Using a Novel Feature Extraction Method and a Neural Network
In this paper, we present a holistic system for the recognition of cursive handwriting that utilizes a novel feature extraction method and a neural network. The Hough transform is...
José Ruiz-Pinales, René Jaime-Rivas
ICMLC
2005
Springer
14 years 6 days ago
Adaptive Online Multi-stroke Sketch Recognition Based on Hidden Markov Model
This paper presents a novel approach for adaptive online multi-stroke sketch recognition based on Hidden Markov Model (HMM). The method views the drawing sketch as the result of a ...
Zhengxing Sun, Wei Jiang, Jianyong Sun
IBPRIA
2007
Springer
14 years 26 days ago
Handwritten Symbol Recognition by a Boosted Blurred Shape Model with Error Correction
One of the major difficulties of handwriting recognition is the variability among symbols because of the different writer styles. In this paper we introduce the boosting of blurre...
Alicia Fornés, Sergio Escalera, Josep Llad&...