Handwriting recognition

Known as: Off-line handwriting recognition, Recognition, Handprint Character Recognition 
Handwriting recognition (or HWR) is the ability of a computer to receive and interpret intelligible handwritten input from sources such as paper… (More)
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Papers overview

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Highly Cited
2014
Highly Cited
2014
Recurrent neural networks (RNNs) with Long Short-Term memory cells currently hold the best known results in unconstrained… (More)
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Highly Cited
2013
Highly Cited
2013
Recurrent neural networks (RNNs) are a powerful model for sequential data. End-to-end training methods such as Connectionist… (More)
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Highly Cited
2013
Highly Cited
2013
This paper describes the Chinese handwriting recognition competition held at the 12th International Conference on Document… (More)
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Highly Cited
2009
Highly Cited
2009
Recognizing lines of unconstrained handwritten text is a challenging task. The difficulty of segmenting cursive or overlapping… (More)
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Highly Cited
2009
Highly Cited
2009
This paper describes the handwriting recognition competitionheld at ICDAR 2009. This competition is based onthe RIMES-database… (More)
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Highly Cited
2008
Highly Cited
2008
Offline handwriting recognition—the automatic transcription of images of handwritten text—is a challenging task that combines… (More)
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Highly Cited
2007
Highly Cited
2007
This paper describes the Arabic handwriting recognition competition held at ICDAR 2007. This second competition (the first was at… (More)
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Highly Cited
2002
Highly Cited
2002
In this paper we describe a database that consists of handwritten English sentences. It is based on the Lancaster-Oslo/Bergen… (More)
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Highly Cited
2002
Highly Cited
2002
In this contribution we describe a novel classification approach for on-line handwriting recognition. The technique combines… (More)
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Highly Cited
1996
Highly Cited
1996
Hidden Markov Model (HMM) based recognition of handwriting is now quite common, but the incorporation of HMM's into a complex… (More)
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