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ICDAR
2009
IEEE
13 years 2 months ago
Lexicon-Based Word Recognition Using Support Vector Machine and Hidden Markov Model
Hybrid of Neural Network (NN) and Hidden Markov Model (HMM) has been popular in word recognition, taking advantage of NN discriminative property and HMM representational capabilit...
Abdul Rahim Ahmad, Christian Viard-Gaudin, Marzuki...
IJDAR
2007
127views more  IJDAR 2007»
13 years 4 months ago
Word matching using single closed contours for indexing handwritten historical documents
Abstract. Effective indexing is crucial for providing convenient access to scanned versions of large collections of handwritten historical manuscripts. Since traditional handwritin...
Tomasz Adamek, Noel E. O'Connor, Alan F. Smeaton
NIPS
1997
13 years 6 months ago
Hybrid NN/HMM-Based Speech Recognition with a Discriminant Neural Feature Extraction
In thispaper, we present a novelhybridarchitecture forcontinuousspeech recognition systems. It consists of a continuous HMM system extended by an arbitrary neural network that is ...
Daniel Willett, Gerhard Rigoll
ICDAR
2011
IEEE
12 years 4 months ago
Co-training for Handwritten Word Recognition
—To cope with the tremendous variations of writing styles encountered between different individuals, unconstrained automatic handwriting recognition systems need to be trained on...
Volkmar Frinken, Andreas Fischer, Horst Bunke, Ali...
PRL
2002
104views more  PRL 2002»
13 years 4 months ago
Writer adaptation techniques in HMM based Off-Line Cursive Script Recognition
This work presents the application of HMM adaptation techniques to the problem of Off-Line Cursive Script Recognition. Rather than training a new model for each writer, one first ...
Alessandro Vinciarelli, Samy Bengio