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Handwriting recognition
Known as:
Off-line handwriting recognition
, Recognition
, Handprint Character Recognition
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Handwriting recognition (or HWR) is the ability of a computer to receive and interpret intelligible handwritten input from sources such as paper…
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Related topics
Related topics
50 relations
AI effect
Amiga software
Apple Mouse
Chinese input methods for computers
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2013
Highly Cited
2013
Dropout Improves Recurrent Neural Networks for Handwriting Recognition
Vu Pham
,
Christopher Kermorvant
,
J. Louradour
International Conference on Frontiers in…
2013
Corpus ID: 9919769
Recurrent neural networks (RNNs) with Long Short-Term memory cells currently hold the best known results in unconstrained…
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Highly Cited
2008
Highly Cited
2008
Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks
Alex Graves
,
Jürgen Schmidhuber
Neural Information Processing Systems
2008
Corpus ID: 639755
Offline handwriting recognition—the automatic transcription of images of hand-written text—is a challenging task that combines…
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Highly Cited
2008
Highly Cited
2008
Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks
Alex Graves
,
J. Schmidhuber
Neural Information Processing Systems
2008
Corpus ID: 1733286
Offline handwriting recognition—the automatic transcription of images of handwritten text—is a challenging task that combines…
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Highly Cited
2002
Highly Cited
2002
The IAM-database: an English sentence database for offline handwriting recognition
Urs-Viktor 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…
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Review
2001
Review
2001
An overview of character recognition focused on off-line handwriting
N. Arica
,
F. Yarman-Vural
IEEE Transactions on Systems, Man & Cybernetics…
2001
Corpus ID: 11792588
Character recognition (CR) has been extensively studied in the last half century and has progressed to a level that is sufficient…
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Review
2000
Review
2000
On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
R. Plamondon
,
S. Srihari
IEEE Transactions on Pattern Analysis and Machine…
2000
Corpus ID: 15782139
Handwriting has continued to persist as a means of communication and recording information in day-to-day life even with the…
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Review
2000
Review
2000
Statistical Pattern Recognition: A Review
Anil K. Jain
,
R. Duin
,
J. Mao
IEEE Transactions on Pattern Analysis and Machine…
2000
Corpus ID: 192934
The primary goal of pattern recognition is supervised or unsupervised classification. Among the various frameworks in which…
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Review
1998
Review
1998
Gradient-based learning applied to document recognition
Yann LeCun
,
L. Bottou
,
Yoshua Bengio
,
P. Haffner
Proceedings of the IEEE
1998
Corpus ID: 14542261
Multilayer neural networks trained with the back-propagation algorithm constitute the best example of a successful gradient based…
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Highly Cited
1992
Highly Cited
1992
Methods of combining multiple classifiers and their applications to handwriting recognition
L. Xu
,
A. Krzyżak
,
C. Suen
IEEE Transactions on Systems, Man and Cybernetics
1992
Corpus ID: 206400534
Possible solutions to the problem of combining classifiers can be divided into three categories according to the levels of…
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Review
1990
Review
1990
The State of the Art in Online Handwriting Recognition
C. Tappert
,
C. Suen
,
T. Wakahara
IEEE Transactions on Pattern Analysis and Machine…
1990
Corpus ID: 42920826
This survey describes the state of the art of online handwriting recognition during a period of renewed activity in the field. It…
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