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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… Expand
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Related topics

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AI effectAmiga softwareApple MouseChinese input methods for computers
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Dropout Improves Recurrent Neural Networks for Handwriting Recognition
Recurrent neural networks (RNNs) with Long Short-Term memory cells currently hold the best known results in unconstrained… Expand
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Highly Cited
2013
Highly Cited
2013
Speech recognition with deep recurrent neural networks
Recurrent neural networks (RNNs) are a powerful model for sequential data. End-to-end training methods such as Connectionist… Expand
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Highly Cited
2008
Highly Cited
2008
Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks
Offline handwriting recognition—the automatic transcription of images of handwritten text—is a challenging task that combines… Expand
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Highly Cited
2008
Highly Cited
2008
Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks
Offline handwriting recognition—the automatic transcription of images of handwritten text—is a challenging task that combines… Expand
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Highly Cited
2002
Highly Cited
2002
The IAM-database: an English sentence database for offline handwriting recognition
  • U. Marti, H. Bunke
  • International Journal on Document Analysis and…
  • 2002
    • Corpus ID: 29622813
Abstract. In this paper we describe a database that consists of handwritten English sentences. It is based on the Lancaster-Oslo… Expand
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Highly Cited
2002
Highly Cited
2002
Online handwriting recognition with support vector machines - a kernel approach
In this paper we describe a novel classification approach for online handwriting recognition. The technique combines dynamic time… Expand
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Highly Cited
2001
Highly Cited
2001
Online handwriting recognition: the NPen++ recognizer
Abstract. This paper presents the online handwriting recognition system NPen++ developed at the University of Karlsruhe and… Expand
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Highly Cited
2001
Highly Cited
2001
Using a Statistical Language Model to Improve the Performance of an HMM-Based Cursive Handwriting Recognition System
  • U. Marti, H. Bunke
  • Int. J. Pattern Recognit. Artif. Intell.
  • 2001
    • Corpus ID: 10207300
In this paper, a system for the reading of totally unconstrained handwritten text is presented. The kernel of the system is a… Expand
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Highly Cited
1999
Highly Cited
1999
A full English sentence database for off-line handwriting recognition
  • U. Marti, H. Bunke
  • Proceedings of the Fifth International Conference…
  • 1999
    • Corpus ID: 12734250
We present a new database for off-line handwriting recognition, together with a few preprocessing and text segmentation… Expand
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Highly Cited
1992
Highly Cited
1992
Methods of combining multiple classifiers and their applications to handwriting recognition
Possible solutions to the problem of combining classifiers can be divided into three categories according to the levels of… Expand
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